VP Quantitative Developer, Rates Trading & Execution

Aumni; Greater London; On-site; GBP 150,000 - 210,000; Full time

Job summary

J.P. Morgan in London seeks a Quantitative Developer, Rates – Vice President, to design and deliver production systems enabling systematic trading at scale. You will partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms, thriving in a dynamic, collaborative environment.

You will help shape models, tooling and workflows used daily in live markets with a builder’s mindset and a focus on reliability and efficiency.

Qualifications

• Proficiency in programming with Java, C++ or another object-oriented language.
• Experience performing data analysis in Python, including proficiency with data science libraries (NumPy, pandas).
• Ability to translate quantitative models into reliable, maintainable production code.

Responsibilities

• Design, build and maintain algorithmic trading systems and execution platforms for systematic Rates trading.
• Implement quantitative models in production, translating research prototypes into robust, scalable strategies.
• Collaborate with traders and researchers to refine models, quoting, hedging, risk management and allocation processes.
• Engineer high-quality, testable and observable code for reliability in live markets.
• Optimise performance, latency and throughput of critical trading components.
• Automate workflows and deployments to improve speed, safety and repeatability across the stack.
• Monitor, diagnose and resolve production issues, contributing to continuous improvement.
• Document designs, interfaces and operating procedures to support transparency and knowledge sharing.

Skills

Java/C++

Python (NumPy, Pandas)

Production-grade code

Education

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

Job description

J.P. Morgan in London seeks a Quantitative Developer, Rates – Vice President, to design and deliver production systems enabling systematic trading at scale. You will partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms, thriving in a dynamic, collaborative environment.

You will help shape models, tooling and workflows used daily in live markets with a builder’s mindset and a focus on reliability and efficiency.