WSN

Job Description Engineer, Multi-Asset Class Order Management System (OMS) Location: New York, NY Hybrid Role Overview We are seeking an Engineer to build our client's greenfield, multi-asset class Order Management System (OMS) that enables direct ownership of equities, fixed income, options, futures, FX, alternatives, and cryptocurrency through a unified trading interface. You will own the complete technical architecture end to end-from order routing and execution, to position management, custody integrations, and regulatory reporting. This is a hands-on senior/lead engineering role requiring deep expertise in trading systems, distributed systems design, and financial markets infrastructure. Key Responsibilities Design and manage the full trade order lifecycle across multiple asset classes Build and evolve a robust position management system Integrate FIX protocol and vendor-specific trading APIs Ingest and process market data, custody feeds, and execution reports Evolve the platform from daily batch execution to intraday and real-time trading Scale the system to handle high volumes of concurrent orders across multiple accounts Engineer for correctness, resiliency, operational safety, and failure recovery in high-stakes production environments Take ownership of operational risk associated with multi-billion-dollar trading activity Required Qualifications 8+ years of experience building production trading systems managing live capital Expert-level Python for business logic, data pipelines, and systems integration Deep C++ experience building low-latency, high-reliability trading systems where correctness and resiliency are critical Claude Coding / Opus Production experience with Smart Order Routing and exchange connectivity Strong distributed systems fundamentals: Asynchronous, event-driven architectures Durable messaging patterns Stateful workflow design Technologies such as RabbitMQ, Kafka, SQS, RisingWave Strong database expertise, including PostgreSQL and time-series databases Experience building real-time, high-volume streaming data pipelines with materialized views Strong financial markets domain knowledge: Order types and execution venues Symbol mapping Corporate actions Reconciliation processes Mission-critical systems operations experience, including monitoring, logging, tracing, and alerting Strong technical communication skills and the ability to communicate upward to leadership Bonus Points Experience with low-latency trading systems AWS infrastructure expertise: EC2, Lambda, RDS, DynamoDB, SQS, Kinesis CloudWatch, VPC, IAM Infrastructure-as-Code (CDK / CloudFormation) Algorithmic execution strategies: VWAP, TWAP Implementation shortfall Liquidity-seeking strategies Market impact modeling Risk systems experience: Value-at-Risk (VaR) calculations Pre-trade limits Position and exposure analytics Direct experience integrating with major custody platforms: Fidelity Institutional Schwab Advisor Services Pershing APIs Experience with alternative assets: Private equity Hedge funds Structured products Cryptocurrency trading and custody SALARY is open to discussion