VP Quant Developer, Rates Trading & Research

JPMorgan Chase & Co.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks a Quantitative Developer, Rates – VP to design and deliver production systems enabling systematic Rates trading at scale. You will work with researchers and traders to translate ideas into robust, low-latency algorithms and execution platforms, improving models, tooling and workflows.

This high-impact role requires collaboration across desks and live markets, with a builder’s mindset in a fast-paced environment.

Qualifications

• Proficiency in Java or C++ and other OO languages.
• Experience performing data analysis in Python with libraries (NumPy, Pandas) and visualization tools.
• Ability to translate quantitative models into reliable production code.
• Strong collaboration with traders and researchers.
• Attention to detail in fast-paced environments.
• Interest in financial markets and systematic trading.
• Bachelor’s or Master’s degree in a quantitative field.

Responsibilities

• Design, build and maintain algorithmic trading systems and execution platforms for Rates trading.
• Implement quantitative models in production, translating research prototypes into scalable strategies.
• Collaborate with traders and researchers to refine models, hedging and risk management.
• Engineer high-quality, testable and observable code for live markets.
• Optimise performance, latency and throughput of critical components; automate workflows.
• Monitor, diagnose and resolve production issues and drive improvements.
• Document designs, interfaces and operating procedures.

Skills

Java

C++

Python

Data analysis

Data visualization

Education

Bachelor’s or Master’s in CS/Math/Physics/Engineering

Tools

NumPy

Pandas

Job description

JPMorgan Chase & Co. in London seeks a Quantitative Developer, Rates – VP to design and deliver production systems enabling systematic Rates trading at scale. You will work with researchers and traders to translate ideas into robust, low-latency algorithms and execution platforms, improving models, tooling and workflows.

This high-impact role requires collaboration across desks and live markets, with a builder’s mindset in a fast-paced environment.