Quantitative Developer - Prop Trading - Python - London

Stanford Black Limited; City Of London; On-site; GBP 80,000 - 130,000; Full time

Job summary

Stanford Black Limited, a world-leading proprietary quantitative investment firm, combines elite engineering with massive compute power to tackle some of the hardest problems in systematic trading.

You will work directly with top-tier researchers and traders, optimizing simulation engines, scaling workloads across thousands of nodes, and building high-performance Python systems used in live trading. Exceptional talent is expected and rewarded in this elite environment.

Qualifications

• Exceptional Python engineering skill.
• Strong algorithms, data structures and systems fundamentals.
• A top-tier technical and/or academic background.

Responsibilities

• Optimise simulation engines running millions of strategy experiments.
• Scale distributed research workloads across thousands of compute nodes.
• Build high-performance Python systems used in live trading.

Skills

Python

Algorithms

Data structures

Systems fundamentals

Job description

My client is one of the world’s leading proprietary quantitative investment firms, combining elite engineering talent with enormous compute power to solve some of the hardest problems in systematic trading.

Why This Team?

• Work directly alongside world-class quantitative researchers and traders.
• Access massive proprietary compute clusters with 1000s of cores.
• Build trading systems running globally, 24/6, with proprietary capital.
• Exceptional compensation and elite engineering calibre.

What You’ll Tackle:

• Optimise simulation engines running millions of strategy experiments.
• Scale distributed research workloads across thousands of compute nodes.
• Build high-performance Python systems used in live trading.

We Should Speak If You Have:

• Exceptional Python engineering skill.
• Strong algorithms, data structures and systems fundamentals.
• A top-tier technical and/or academic background.