SVP, Principal Python Full Stack Engineer – Margin Calculation and System Integration

BNY Mellon•New York, NY
•$120,000 - $200,000•Onsite

About The Position

BNY is seeking an experienced Full Stack Developer to develop margin systems, with a primary focus on Securities Finance businesses, including Prime Services, Repo, Securities Lending, and Wealth Solutions. The role is located in New York, NY. The position focuses on Python-based margin calculation and collateral optimization, including dynamic margin methodologies and analytics. It also involves integrating pricing, risk, and collateral platforms; developing and maintaining web applications for margin workflows; and optimizing application performance, automation, and cloud-native deployments. The engineer will partner with Quant, Risk, and Operations teams to deliver scalable production solutions.

Requirements

  • Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work experience.
  • 9–11 years of software development experience.
  • At least 6 years of Python development experience in Capital Markets.
  • Hands-on experience with Python, Pandas, NumPy, SQL, REST APIs, and Git.
  • At least 3 years of experience building data-intensive web UIs using Angular and/or Next.js, including tabular margin drill-downs and configuration dashboards.
  • Hands-on experience developing data pipelines across relational sources such as Oracle and Snowflake and streaming platforms such as Kafka, including real-time market data enrichment.
  • Hands-on experience with low-latency REST APIs and gRPC endpoints for calculators.
  • Proficiency with AI-assisted development tools such as Codex, Devin, or Claude Code for feature delivery, automated test generation, and agentic code review.
  • Experience with distributed caching, such as Hazelcast.
  • Good understanding of derivatives, collateral management, repo, securities financing, and margin methodologies such as SIMM and IM/VM.
  • Strong quantitative programming skills.

Nice To Haves

  • Experience in the securities or financial services industry.
  • Exposure to cloud technologies, Docker/Kubernetes, and distributed processing.
  • Experience in Prime Services, Repo, and securities lending.
  • Experience in Margin and Collateral Management.
  • Experience in Java.
  • Experience with optimization libraries such as OR-Tools, Pyomo, CVXPY, PuLP, Gurobi, or CPLEX.
  • Knowledge of regulatory margin frameworks such as Reg T, FINRA 4210, 15c3-1, and US Portfolio Margin.
  • Experience with securities reference data, securities market data, and client account hierarchy.

Responsibilities

  • Design and develop Python-based margin calculation and collateral optimization solutions.
  • Develop dynamic margin calculation systems, including Rules-Based Dynamic Margin, Stress-Based Dynamic Margin, and VaR-based Margin methodologies.
  • Extend the margin rule engine with rules for eligibility, concentration limits, and liquidity add-ons.
  • Develop analytics for IM, VM, SIMM, haircuts, eligibility, concentration limits, and liquidity optimization.
  • Integrate pricing, risk, and collateral platforms using APIs and distributed processing frameworks.
  • Optimize application performance, automation, and cloud-native deployments.
  • Build and maintain Angular and Next.js front-end applications for margin calculation workflows, including margin drill-down grids, rule and override configuration dashboards, and intraday alerting views for Margin Operations and Risk teams.
  • Partner with Quant, Risk, and Operations teams to deliver scalable production solutions.

Benefits

  • Competitive compensation and benefits, including wellbeing programs.
  • Flexible global resources and tools.
  • Paid leaves, including paid volunteer time; vacation and sick time may be available depending on the position offered.
  • Eligibility to enroll in a 401(k) plan.
  • Company-sponsored medical, dental, vision, and basic life insurance plans for eligible employees and dependents.
  • Eligible employees may participate in an annual discretionary incentive award.
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