Senior Python Risk Developer

Senior Python Risk Developer

Location: Jersey City, New Jersey

Role Overview

An experienced Senior Software Developer is required to join the Counterparty Credit Risk Technology team supporting Sparck, the strategic Counterparty Credit Risk calculation and reporting platform. The role focuses on designing and developing scalable, production-grade Python solutions for risk calculations and analytics. The selected candidate will collaborate closely with Risk Managers, Business Analysts, Middle Office users, and technology teams throughout the full Software Development Life Cycle (SDLC).

Key Responsibilities

• Design and develop scalable, production-grade Python solutions for risk calculations and analytics.

• Collaborate with Risk Managers, Business Analysts, Middle Office users, and technology partners throughout the full SDLC.

• Build high-concurrency, distributed systems and scalable enterprise applications.

• Develop and optimize database queries and structures using SQL databases such as Oracle or Sybase.

• Utilize AI-assisted development tools, including GitHub Copilot, to enhance development efficiency and code quality.

• Provide technical leadership, testing, deployment, and ongoing production support for strategic platforms.

• Required Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

• Experience: 10+ years of enterprise software development experience, preferably within Financial Services.

• Technical Skills

• Strong hands-on Python development and Object-Oriented design/programming experience, robust SQL skills (Oracle and/or Sybase), and experience with distributed, high-concurrency systems and AI-assisted development tools.

• Preferred Qualifications

• Experience with Counterparty Credit Risk, Market Risk, or other financial risk technology environments.

• Knowledge of risk calculations, financial risk models, derivatives pricing, and financial products.

• Familiarity with Quartz, big-data platforms, key/value stores, or distributed data processing systems.

• Experience with AI/ML, Generative AI, or LLM technologies.

• Ability to work independently while collaborating effectively in an Agile environment.