SVP, Principal Python Full Stack Engineer (Margin Calculation & System Integration)

Bank Of New York Mellon

New York, NY • 48m ago • On-site

Senior

On-site

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Quick Facts

  • Role: SVP, Principal Python Full Stack Engineer (Margin Calculation & System Integration)

  • Focus: Margin calculation and collateral optimization for Securities Finance (Prime Services, Repo, Securities Lending, Wealth Solutions)

Description

Design and develop Python-based solutions for margin calculation and collateral optimization, including dynamic margin rules and VaR-based margin methodologies. Build analytics for IM, VM, SIMM, haircuts, eligibility, concentration limits, and liquidity optimization, and integrate pricing, risk, and collateral platforms via APIs and distributed processing. Deliver front-end margin calculation workflows using Angular and Next.js, and partner with Quant, Risk, and Operations to deploy scalable production capabilities.

Responsibilities

  • Design and develop Python-based margin calculation and collateral optimization solutions

  • Implement dynamic margin calculation systems (Rules-Based Dynamic Margin, Stress-Based Dynamic Margin, VaR-based Margin)

  • Extend a margin rule engine 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 through 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 workflows (drill-down grids, dashboards, intraday alerting views)

  • Partner with Quant, Risk, and Operations teams to deliver scalable production solutions

Requirements

  • Bachelor’s degree in computer science, engineering, or related discipline, or equivalent work experience

  • 9–11 years of software development experience (securities/financial services a plus)

  • 6+ years of Python development experience in Capital Markets

  • Hands-on Python development with Pandas, NumPy, SQL, REST APIs, and Git

  • 3+ years building data-intensive web UIs using Angular and/or Next.js, including tabular drill-downs and configuration dashboards

  • Hands-on experience developing data pipelines across relational sources (Oracle, Snowflake) and streaming platforms (Kafka), plus real-time market data enrichment

  • Hands-on experience with low-latency REST APIs and gRPC endpoints for calculators

  • Proficiency with AI-assisted development tools (e.g., Codex, Devin, Claude Code)

  • Experience with distributed caching (e.g., Hazelcast)

  • Understanding of derivatives, collateral management, repo, securities financing, and margin methodologies (SIMM, IM/VM)

  • Cloud technologies, Docker/Kubernetes, and distributed processing preferred

  • Strong quantitative programming skills

Benefits

  • Highly competitive compensation and benefits with a pay-for-performance philosophy

  • Paid leaves, including paid volunteer time

  • Access to flexible global resources and wellbeing programs (health, resilience, and financial goals support)

  • 401(k) eligibility and company-sponsored medical, dental, vision, and basic life insurance plans, plus other paid time off benefits (subject to plan terms)

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