at J.P. Morgan
Bulge Bracket Investment BanksPosted 6 days ago
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**Principal Software Engineer & Quant Developer Needed in Jersey City, NJ** As an Executive Director, lead software engineering and quantitative research efforts within JPMorganChase's Asset & Wealth Management, Derivatives Platform Team. Drive engineering excellence and enhance market-leading tech products. Key responsibilities include: * Develop, implement, and enhance pricing models, risk analytics, and quantitative tools for derivatives across rates, credit, and equities using Python on the Athena platform. * Collaborate with portfolio managers and traders, translating investment workflows into quantitative solutions and providing analytical support. * Improve delivery speed, code quality, and operational outcomes using AI-enabled engineering workflows and enterprise-authorized tools. * Influence leaders and stakeholders across business, product, and technology teams. Bring 10+ years of software engineering experience, an advanced degree in a quantitative discipline, and strong Python programming skills. Expertise in derivatives pricing, risk, and analytics is essential. Familiarity with JPMorganChase's Athena platform or similar industry platforms a plus. Join a leading financial institution to advance your career and make an impact.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: Jersey City, NJ, United States
As a Principal Software Engineer at JPMorganChase within the Asset & Wealth Management, Derivatives Platform Team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firms portfolios.
Job responsibilities
- Develop and implement pricing models, risk analytics, and quantitative tools for derivatives across rates, credit, and equities
- Build and enhance analytics on the Athena (Python) platform, ensuring robust testing, clear documentation, and production-quality delivery
- Partner closely with portfolio managers and traders to translate investment and risk workflows into quantitative solutions
- Provide analytical support to internal clients by troubleshooting and resolving model- and analytics-related issues
- Contribute to the derivatives trade lifecycle capabilities, including pricing, risk aggregation, and hedging analytics
- Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across business, product, and technology teams
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Physics, Statistics, Engineering, Quantitative/Financial Engineering, or Computer Science
- Strong quantitative background with proven experience in derivatives across one or more asset classes rates, credit, and equities
- Deep understanding of derivatives pricing, risk, and analytics of financial products, including option pricing theory
- Strong foundation in stochastic calculus, probability theory, and numerical methods
- Strong programming and quant development skills in Python, with the ability to deliver production-ready solutions
- Proven track record working as a quant developer and collaborating closely with quants, traders, or portfolio managers, with the ability to face off to the business
- Excellent communication skills with the ability to engage effectively with front-office stakeholders
- Experience with the JPMorganChase Athena platform; experience with comparable industry platforms such as Quartz or Beacon is also highly valued for candidates without Athena knowledge
- Working knowledge of Java, C++, or C#
- Prior exposure to a front-office quantitative research or trading environment
- Familiarity with the derivatives trade lifecycle across multiple asset classes
