Job Description

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

• Design and develop Python-based solutions for risk integration, orchestration, and data processing

• Build and manage end-to-end risk workflows including trade ingestion, compute, aggregation, and reporting

• Develop and maintain test harness, regression frameworks, and quality engineering standards

• Optimize data pipelines and compute frameworks to ensure performance, scalability, and reliability

• Implement CI/CD pipelines and automate engineering tasks using Python, Shell, and PowerShell

• Apply AI and agentic workflow concepts to improve automation and operational efficiency

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

• Bachelor's or master's degree in computer science, Engineering, or related discipline

• Strong hands-on experience in Python,PySpark with Java

• Experience with SQL Server, Oracle, and MongoDB

• Proficiency in Linux (Shell scripting) and Windows (PowerShell)

• Experience in CI/CD, integration, workflow orchestration, and test automation

• Strong knowledge of core financial risk concepts and developer workflows, including market risk and counterparty risk, VaR/SVaR, sensitivities, stress testing, PnL, pricing and exposure measures across fixed income, cash equity, FX, and derivatives.

• Strong understanding of fixed income instruments such as government bonds, corporate bonds, municipal bonds, callable bonds, asset-backed securities, and MBS, as well as cash equities.

• Experience working with financial risk platforms and integrations, including Quant Model, with expertise in upstream source onboarding, market data discovery and sourcing, security master and reference data onboarding, price ingestion and validation, data quality controls, reconciliation, workflow orchestration, issue triage, and support for audit, controls, and production resiliency.

• Strong understanding of solution architecture and design, with emphasis on implementing secure, controlled environments incorporating IT controls, including vulnerability management, security best practices, and compliance frameworks.

• Exposure to AI/ML, agentic workflows, and automation-first engineering mindset

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.