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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