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

83562 SVP, Principal Python Full Stack Engineer – Margin Calculation and System Integration

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We are seeking an experienced Full stack Developer to work on margin system development, with primary focus on Securities Finance businesses, including Prime Services, Repo, Securities Lending, and Wealth Solutions.

This role is located in New York, NY.

In this role, you’ll make an impact in the following ways:

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

Development of dynamic margin calculation system, including Rules-Based Dynamic Margin, Stress-Based Dynamic Margin and VaR based Margin methodologies.

Extend Margin rule engine for rules related to eligibility, concentration limits, and liquidity add-on etc.

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 calculation workflows, including margin drill-down grids, rule and override configuration dashboards, and intraday alerting views for Margin Ops and Risk teams

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

To be successful in this role, we’re seeking the following:

Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required

9-11 years of experience in software development required; experience in the securities or financial services industry is a plus.

6+ years of Python development experience in Capital Markets.

Strong hands-on experience with Python, Pandas, NumPy, SQL, REST APIs, and Git.

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 with data pipeline development across relational sources (Oracle, Snowflake) and streaming platforms (Kafka), and real-time market data enrichment

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

Proficiency with AI-assisted development tools such as Codex, Devin, or Claude Code for accelerating feature delivery, automated test generation, and agentic code review

Experience with distributed caching (e.g. Hazelcast )

Good understanding of derivatives, collateral management, repo, securities financing, and margin methodologies (SIMM, IM/VM).

Exposure to cloud technologies, Docker/Kubernetes, and distributed processing is preferred.

Strong quantitative programming skills

Preferred Domain Experience

Prime Services, Repo and securities lending

Margin & Collateral Management

Preferred Background

Experience in Java

• Experience with optimization libraries such as OR-Tools, Pyomo, CVXPY, PuLP, Gurobi, or CPLEX.
• Knowledge of Regulatory Margin Frameworks like Reg T, FINRA 4210, 15c3-1, US Portfolio Margin.
• Experience with securities reference data, securities market data and client account hierarchy.