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This job is with WTW, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. We will only consider candidates who are currently authorized to work in the United States and who will not require sponsorship now or in the future. Please note: student visas, CPT, OPT, H-1B, TN, and other temporary work authorizations are considered restricted forms of employment eligibility. Once these expire, the candidate must be able to present another valid form of work authorization. Start Date: August 2 nd , 2027 Hybrid Locations: New York Graduate Program Overview The CRB Graduate Development Program (GDP) is a non-rotational 17-month program that provides the opportunity to develop a broad knowledge base, varied skills, and diverse network. This program is designed to set you up with a holistic view of CRB with hands-on experience, insight, and opportunities to make an impact and shape your own career. GDP participants will be immersed in a 1-week orientation followed by a robust onboarding training learning about various functions within CRB. Our program is designed to provide graduates with a well-rounded understanding of the industry while having the opportunity to deep dive within their respective business area. R&A Enterprise Risk Consulting Overview Colleagues working in Risk & Analytics' Enterprise Risk Consulting (ERC) team provide our clients with a smarter way to analyze risk, using quantification, structured approaches, risk analytics tools and subject matter expertise to improve client outcomes. With our expertise and tailored solutions, we improve complex enterprise risk management by identifying, quantifying and mitigating unpredictable, interconnected risks. We currently work with some of the world's largest and complex organizations to assess and manage their strategic risks. We also work with smaller organizations early in their ERM journeys. We work across many industries including Food & Beverage, Professional Services, Transportation / Logistics, Energy, Construction, Manufacturing and others. Work within ERC is predominantly project-based, and you will often be involved in multiple projects simultaneously. Our work is often collaborative, providing exposure to a range of teams within the division. Responsibilities: As an Analyst within Risk & Analytics' Enterprise Risk Consulting (ERC) team, you will support the delivery of client projects that help organizations identify, assess, quantify, and manage enterprise risks while strengthening organizational resilience. You will work alongside consultants, data scientists, actuaries, catastrophe modelers, business continuity specialists, and industry experts to deliver solutions for some of the world's largest organizations. Project work may include: Enterprise Risk Management (ERM) assessments and maturity reviews Enterprise-wide risk identification, prioritization, and risk register development Risk appetite, tolerance, and governance framework design Strategic risk quantification and decision-support modeling Business Continuity Planning (BCP) and operational resilience programs Development of risk monitoring, reporting, and key risk indicators Benchmarking, research, and analysis to support client recommendations In this role, you will frequently collaborate with colleagues across WTW, including risk consulting, catastrophe modeling, climate, actuarial, insurance, and analytics teams to address complex client challenges. You will also contribute to the development of new consulting methodologies, tools, and thought leadership. As part of our innovation agenda, you will help explore and apply emerging AI-enabled approaches that enhance analytical insights, improve delivery efficiency, and create better outcomes for our clients. What You'll Gain Exposure to a wide variety of industries and risk challenges Experience working directly with senior client stakeholders Opportunities to develop analytical, consulting, and project management skills Collaboration with multidisciplinary teams across WTW Hands-on experience with innovative risk analytics and AI-enabled solutions A strong foundation for a career in enterprise risk management, business continuity, resilience, and risk consulting Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Qualifications Education and Qualifications: Bachelor's degree with a minimum of 3.0 GPA Date of Graduation between May 2026 - May 2027 Preferred Majors: Risk Management, Business, Finance, Economics, Accounting, Liberal Arts Intermediate to advance Excel skills Proficient in Microsoft Office Suite Competencies: Strong analytical, problem-solving, and critical thinking skills Excellent written and verbal communication skills, including the ability to translate complex concepts into clear, actionable insights Strong interpersonal and relationship-building skills, with the ability to collaborate effectively with colleagues, clients, and subject matter experts across functions Intellectual curiosity and a willingness to learn new methodologies, technologies, and AI-enabled approaches to consulting Strong organizational and project management skills with the ability to manage multiple priorities and deadlines Self-starter mindset with the ability to work independently while contributing to team success Proficiency in Microsoft Excel, PowerPoint, and Word Interest in enterprise risk management, business continuity, resilience, analytics, and organizational decision-making Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Compensation The hourly rate being offered for this role is $36.00hr - $39.00hr USD. This role is also eligible for overtime. Company Benefits: WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program) Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off Retirement Benefits: Contributory Pension Plan and Savings Plan (401k) Future Career Opportunities: Our internship program serves as a key talent pipeline for future full-time Graduate opportunities. As a result, candidates must meet the graduation date requirements specified in the posting. If a candidate's expected graduation date changes after applying, they are expected to promptly inform their recruiter or manager, as this may impact eligibility for current or future opportunities. Recruiting tips: WTW specializes in preparing for the unknown. Here's how to get ready for the big day: Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified. EOE, including disability/vets

Job Description Senior Business Analyst - Credit Risk Strategy Location: Tempe, AZ (Preferred) Atlanta, GA Dallas, TX Hybrid 4 days/week in office Salary: $100-115k Base + Annual Bonus The Opportunity We're partnering with an established, growing organization seeking a Senior Business Analyst to join its Analytics team, with a focus on credit risk, business strategy, and data-driven decision-making. This is an opportunity for someone who enjoys going beyond traditional reporting and analysis to solve complex business challenges, shape strategy, and influence decisions at a senior level. The ideal candidate will bring a combination of strong analytical skills, commercial awareness, and independent problem-solving ability. You'll have the autonomy to identify opportunities, develop actionable recommendations, and see your ideas through to implementation. What You'll Be Doing Analyze business performance, credit risk, and customer data to uncover trends, opportunities, and areas for improvement. Develop and evaluate strategies that balance business growth, profitability, and risk. Investigate complex, often undefined business challenges and use data to develop practical solutions. Assess existing policies, processes, and decision-making frameworks to identify opportunities for optimization. Partner with cross-functional teams to develop and implement strategic initiatives. Present analytical findings and recommendations to senior stakeholders, translating complex data into clear business insights. Monitor the impact of implemented strategies and identify opportunities for further improvement. What We're Looking For 5+ years of experience in business analytics, credit risk, risk strategy, or a related analytical role. Experience within financial services, lending, consumer finance, or another data-driven commercial environment preferred. Strong SQL skills, with the ability to independently extract, manipulate, and analyze complex datasets. Advanced Excel proficiency and working knowledge of Python for data analysis. Experience applying analytical techniques to evaluate business performance, risk, or strategic opportunities. Demonstrated ability to approach ambiguous problems, develop hypotheses, and deliver actionable recommendations. Strong communication and stakeholder management skills, with experience influencing business decisions. A proactive, commercially minded approach and the ability to take ownership of projects from analysis through implementation. Why Consider This Opportunity? Strategic Impact: Play a direct role in shaping business decisions and driving measurable outcomes. Autonomy & Ownership: Take ownership of analytical initiatives from identifying opportunities through implementation. Leadership Exposure: Work closely with senior decision-makers and influence business strategy. Cross-Functional Experience: Collaborate with teams across Risk, Product, Operations, and other business functions. Career Development: Gain exposure to a broad range of strategic initiatives beyond your initial area of focus. If you're an analytically strong problem-solver who enjoys turning complex data into meaningful business decisions, we'd love to hear from you. Please note this role can only hire Green Card Holders or US Citizens

This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices. About the Role: You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions. Responsibilities of the Role: Managing application and data integration platforms using AWS Cloud Components Building robust data pipeline using modern data engineering practice in a Cloud architecture Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards Responsible for Data availability /enablement for business reporting and analytics within the SLA Create and manage data, applications and technology architecture documentation and design artifacts Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc. Requirements of the Role: 5-7 years of experience in data modeling, data warehousing, and big data architectures 5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc. 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT) 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have Strong experience with databases such as Snowflake Postgres, Aurora, Athena Strong programming experience with Python, Linux/bash scripting, Ansible Experience using GitHub, Bit Bucket, or other code repository solution Understanding and knowledge of Automated code Deployments CI/CD BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Platforms Analytics and Governance Lead Description - Job Summary The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives. Responsibilities Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI. Define platform standards, governance policies, and model consumption guidelines. Evaluate emerging AI technologies and recommend adoption strategies. Partner with security, legal, privacy, and compliance teams. Develop budget guardrails and cost allocation strategies. Create consumption forecasting models and executive dashboards. Identify optimization opportunities including: Prompt engineering Prompt caching Model routing Token reduction Context window optimization RAG optimization Batch processing Agent orchestration improvements Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends. Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment. Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Business Intelligence • Computer Science • Dashboard • Data Analysis • Data Management • Data Modeling • Data Quality • Data Science • Data Visualization • Data Warehousing • Extract Transform Load (ETL) • Machine Learning • Power BI • Python (Programming Language) • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts large functions and leads large, cross-division functional teams or projects. Complexity Provides highly innovative solutions to complex problems within established policy. Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details