VP, Rates Quant Dev & Research for Production Trading

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in New York invites a Quantitative Developer, Rates – Vice President, to design and deliver production systems to enable systematic trading at scale. You will work with researchers and traders to translate ideas into robust algorithms and execution platforms in fast-paced markets.

You thrive on building observable, high-quality code, improving models and workflows, and collaborating across teams to optimize performance, latency and risk controls.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Proficiency in Java, C++ or another OO language and Python data analysis.
• Ability to translate models into maintainable production code.
• Strong collaboration with traders and researchers in fast-paced environments.

Responsibilities

• Design, build and maintain algorithmic trading systems and execution platforms.
• Implement quantitative models in production for systematic rates trading.
• Collaborate with traders and researchers to refine models, hedging and risk management.
• Engineer high-quality, testable and observable code for live markets.
• Optimize performance, latency and throughput of trading components.
• Automate workflows and deployments across the stack.
• Monitor and resolve production issues; document designs and interfaces.

Skills

Java

C++

Python

Data analysis

Communication

Quantitative thinking

Education

Bachelor’s or Master’s degree in Computer Science/Math/Physics/Engineering

Tools

NumPy

pandas

Job description

JPMorgan Chase & Co. in New York invites a Quantitative Developer, Rates – Vice President, to design and deliver production systems to enable systematic trading at scale. You will work with researchers and traders to translate ideas into robust algorithms and execution platforms in fast-paced markets.

You thrive on building observable, high-quality code, improving models and workflows, and collaborating across teams to optimize performance, latency and risk controls.