107 jobs found

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. The Infrastructure Domain in Information Technology manages and maintains the platforms, services, observability capabilities, resiliency frameworks, and technology foundations that underpin the airline's digital ecosystem. This domain covers observability, IT service management, resiliency engineering, cloud platforms, integration technologies, automation, and operational excellence. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Define and drive the architectural vision and strategy for the organization, ensuring alignment with business goals and technological advancements. Lead and mentor a team of architects and engineers, fostering a culture of innovation, collaboration, and continuous improvement. Oversee the design and implementation of complex architectural projects, ensuring they meet quality, performance, and security standards. Collaborate with senior executives, business leaders, and other stakeholders to understand business needs and translate them into architectural solutions. Evaluate and recommend new technologies, tools, and methodologies to enhance the organization's architectural capabilities. Establish and enforce architectural standards, guidelines, and best practices across the organization. Identify and mitigate architectural risks, ensuring the stability and scalability of IT systems. Lead the architecture and strategic direction for observability, resiliency, and operational intelligence capabilities across the enterprise. Establish measurable standards and metrics for service health and reliability, including availability, MTTD, MTTR, and business impact reduction. Partner across infrastructure, software, security, and business domains to improve operational resilience and accelerate incident detection and recovery. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training 12+ years of experience in IT Architecture including time in senior Architecture roles Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry leadership experience Skills, Licenses & Certifications Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating Deep knowledge of enterprise architecture, cloud computing, software development, and IT infrastructure. Strong leadership skills to guide and inspire a team of engineers. Strong knowledge of emerging technologies like Al, machine learning, and cybersecurity. Excellent verbal and written communication skills to interact with stakeholders at all levels. Ability to align architectural solutions with business strategies and goals. Expertise in enterprise observability platforms, event management, telemetry strategy, and operational analytics. Strong understanding of IT Service Management (ITSM), resiliency engineering, incident management, and service reliability practices. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements. What you'll need to succeed as a Senior Data Scientist at XPO:Minimum qualifications:Bachelor's degree or equivalent related work or military experience2 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applicationsBachelor's degree or equivalent related work or military experienceStrong communication skills with the ability to translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative disciplineA Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical fieldExperience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agentsExperience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutionsFamiliarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sourcesFamiliarity with Agentic AI concepts, including tool calling, API integration, workflow orchestration, and multi-step AI workflowsUnderstanding of machine learning and AI concepts, including model development, testing, evaluation, and deployment About the Senior Data Scientist job:Pay, Benefits and more: Competitive compensation packageFull health insurance benefits available on day oneLife and disability insuranceEarn up to 15 days of PTO over your first year9 paid company holidays401(k) option with company matchEducation assistanceOpportunity to participate in a company incentive plan What you'll do on a typical day:Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve how employees access information and complete business tasksDevelop RAG-enabled applications that securely connect LLMs with enterprise documents, databases, and internal knowledge sourcesBuild Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processesImprove conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimizationHelp implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure, scalable, and reliableIntegrate GenAI solutions with enterprise applications, data platforms, and internal systemsPartner with Engineering, Product, Cybersecurity, and business teams to move solutions from proof of concept through production deploymentResearch emerging GenAI, LLM, RAG, and Agentic AI technologies and identify new opportunities to improve productivity, operational efficiency, and business performance About XPOXPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here.

Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from marketing and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning recovery, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - marketing, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to marketing strategy or optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.

Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.

Allstate is seeking a Senior AI Engineer to join our Data Science & Artificial Intelligence (AI) team in the Insurance industry. You will design, build, and deploy scalable AI/ML solutions that improve underwriting, claims, fraud detection, and customer experiences. Responsibilities include developing production-grade models, collaborating with data scientists and engineers, integrating models into cloud-based systems, and ensuring reliability, fairness, and compliance. You will mentor junior teammates, drive MLOps best practices, and partner with business stakeholders to translate complex data into measurable business impact. Responsibilities Design, build, and deploy scalable AI/ML solutions for underwriting, claims, and fraud detection Collaborate with data scientists and engineers to productionize and optimize models Implement MLOps pipelines, CI/CD, monitoring, and model governance Integrate AI services and APIs into cloud-native applications and data platforms Ensure AI systems meet security, reliability, fairness, and regulatory requirements Work with stakeholders to translate business needs into technical AI solutions Optimize model performance, latency, and cost in cloud environments Mentor junior engineers and contribute to engineering best practices and standards Document architectures, models, and processes for maintainability and reuse Evaluate and introduce new AI tools, frameworks, and practices to drive innovation Required Skills Python Machine learning algorithms Deep learning frameworks (Tensor Flow/Py Torch) MLOps and ML pipelines (CI/CD) Cloud platforms (AWS/Azure/GCP) Data engineering (SQL, data pipelines) Model monitoring and observability API development and microservices Version control (Git) Software engineering best practices

Job Description Job Description At Koalafi, we believe in a world where no one has to put an important purchase on hold. That's why we're making it easier for more people to pay for big purchases over time. Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers. Interested in learning more about how we're transforming the financing experience and joining our team? What You'll Do: At Koalafi, we use data-driven insights to inform business decisions. This position is responsible for supporting the business by providing analysis, recommendations, and driving the implementation of strategic business initiatives. You will have the unique opportunity to grow alongside the company and help shape the future direction of the business. In this role, you will: Drive research and analysis that powers our strategy, operational, financial, and business development decision-making Develop business plans, including gathering requirements for transformational projects within our new product line Monitor portfolio risk and recommend changes to credit policy strategy Perform in-depth analysis on complex datasets to generate actionable insights Present results to leadership and influence to adopt recommendations Support with regular reports, ad hoc data requests and analysis, transaction analysis, and special inquires as requested Create queries as needed to problem solve and answer internal and external customer questions Produce financial models and NPV analyses About You (Qualifications) Bachelor's degree in a quantitative field (finance, economics, mathematics, engineering, etc.) 2 years of analysis experience Proficiency in Python and SQL or similar language Ability to communicate with data in written and verbal contexts Exceptional attention to detail and problem-solving skills Demonstrates curiosity and a growth mindset by actively seeking feedback, continuously developing skills, and adapting to changing priorities and business needs Preferred Qualifications Master's degree in a quantitative field (finance, economics, mathematics, engineering, etc.) 2+ years of analyst experience in financial industries, ideally consumer lending or credit risk 1+ years at a fast-moving start-up Experience using in data science and machine learning techniques such as Logistic Regression and/or GBM models Location: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time Salary Range: $100,000-$129,000 per year Additional Compensation: This position is eligible to participate in company bonus plan. The final salary offer will depend on factors including, but not limited to, experience, skills, and geographic location. The actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Applications will be accepted until position is filled. Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most. Benefits: At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Student Loan & Tuition Reimbursement Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs Who we are & what we value: We focus on what's most important We set clear expectations and deliver We embrace challenges to reach our full potential We ask, "How can this be better?" We move fast together

Job Description Job Description At Koalafi, we believe in a world where no one has to put an important purchase on hold. That's why we're making it easier for more people to pay for big purchases over time. Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers. Interested in learning more about how we're transforming the financing experience and joining our team? What You'll Do: At Koalafi, we use data-driven insights to inform business decisions. This position is responsible for supporting the business by providing analysis, recommendations, and driving the implementation of strategic business initiatives. You will have the unique opportunity to grow alongside the company and help shape the future direction of the business. In this role, you will: Drive research and analysis that powers our strategy, operational, financial, and business development decision-making Develop business plans, including gathering requirements for transformational projects within our new product line Monitor portfolio risk and recommend changes to credit policy strategy Perform in-depth analysis on complex datasets to generate actionable insights Present results to leadership and influence to adopt recommendations Support with regular reports, ad hoc data requests and analysis, transaction analysis, and special inquires as requested Create queries as needed to problem solve and answer internal and external customer questions Produce financial models and NPV analyses About You (Qualifications) Bachelor's degree in a quantitative field (finance, economics, mathematics, engineering, etc.) 2 years of analysis experience Proficiency in Python and SQL or similar language Ability to communicate with data in written and verbal contexts Exceptional attention to detail and problem-solving skills Demonstrates curiosity and a growth mindset by actively seeking feedback, continuously developing skills, and adapting to changing priorities and business needs Preferred Qualifications Master's degree in a quantitative field (finance, economics, mathematics, engineering, etc.) 2+ years of analyst experience in financial industries, ideally consumer lending or credit risk 1+ years at a fast-moving start-up Experience using in data science and machine learning techniques such as Logistic Regression and/or GBM models Location: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time Salary Range: $100,000-$129,000 per year Additional Compensation: This position is eligible to participate in company bonus plan. The final salary offer will depend on factors including, but not limited to, experience, skills, and geographic location. The actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Applications will be accepted until position is filled. Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most. Benefits: At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Student Loan & Tuition Reimbursement Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs Who we are & what we value: We focus on what's most important We set clear expectations and deliver We embrace challenges to reach our full potential We ask, "How can this be better?" We move fast together

Job Description Job Description Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary+ annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation . click apply for full job details

Century Distribution Systems seeks an AI Business Transformation Manager to lead AI and data science initiatives within our Transportation & Logistics operations. Partnering with business leaders, you'll identify high-impact opportunities, translate requirements into AI-powered solutions, and guide cross-functional teams from concept through deployment. You'll oversee roadmaps, manage projects, and ensure models are robust, ethical, and aligned to business KPIs. In our collaborative, growth-focused culture, you'll mentor teams, champion innovation, and drive measurable improvements in efficiency, forecasting, and customer experience. Responsibilities Identify and prioritize AI opportunities across transportation and logistics operations. Translate business needs into clear data science and AI solution requirements. Lead end-to-end delivery of AI initiatives, from scoping through deployment and measurement. Collaborate with data scientists, engineers, and business stakeholders to ensure solution adoption. Develop and maintain AI transformation roadmaps aligned with business strategy. Monitor performance of deployed models and drive continuous improvement. Champion change management, training, and communication for AI initiatives. Report on KPIs and ROI of AI projects to senior leadership. Required Skills AI strategy development Business process analysis Machine learning frameworks (e.g., Tensor Flow, Py Torch) Data analytics & visualization (SQL, Python, BI tools) MLOps and model deployment Cloud platforms (AWS, Azure, GCP) Project management Stakeholder management Requirements gathering & documentation Change management

s degree in Biomolecular Engineering, Life Science, Statistics, Data Management, Computer Science, Information Management, or Medical Technology; knowledge of statistical analysis techniques; knowledge of scripting languages (such as Python) for ETL (Extract, Transform, Load) functions; knowledge of data management principles; knowledge of Artificial Intelligence methods such as machine learning techniques; and up to 5% domestic travel required. Salary ranging $122,491.00/yr. to $152,915.00/yr. Send resume to Julie Strzyzewski, Senior Director, Human Resources, at (email removed) with reference code: 14-J.

Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test and support ML software components including distributed model training and inference, model orchestration and observability, etc. Leverage a broad stack of Open Source and SaaS AI/ML technologies such as kubernetes, kubeflow pipelines, ray, polars and more Invent and introduce state-of-the-art ETL and ML optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ML systems. Contribute to the technical vision and the long term roadmap of ML systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research and industry trends, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI/ML enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).