Quant Developer - Python/Rust - Options Market Maker

Radley James; New York (NY); Hybrid; Full time

Job summary

A global investment firm is seeking a Quant Developer skilled in Python or Rust, focusing on enhancing research and trading capabilities. You will design and build high-performance tools for an options market-making team, ensuring efficient use of modern CPU architectures. The firm offers a highly competitive compensation and hybrid working model. This role requires strong technical skills and collaboration with researchers and developers to improve trading systems continuously.

Qualifications

• Strong academic background in a technical field.
• Deep expertise in Python or Rust.
• Experience with high-performance or latency-sensitive systems.

Responsibilities

• Design, build, and enhance high-performance research and simulation tools.
• Develop low-latency, Linux-based systems in Python or Rust.
• Collaborate closely with researchers and developers.

Skills

Python

Rust

High-performance systems

Low-latency systems

Multithreading

Education

Degree in Computer Science, Engineering, Mathematics, or Physics

Job description

Quant Developer – Python/Rust – Options Market Maker

A leading global investment firm specialising in systematic and quantitative trading seeks a skilled developer to help advance its high-performance research and trading capabilities. The environment is collaborative, technology-driven, and focused on solving complex problems at scale.

Role Overview

You will design, build, and enhance high-performance research and simulation tools used within an options market‑making team. The work centres on developing low‑latency, Linux‑based systems in Python or Rust, optimising throughput, and ensuring efficient use of modern CPU architectures. Close collaboration with researchers and developers is central to the role, supporting rapid iteration and continuous improvement of trading systems.

This position offers a highly competitive compensation package and hybrid working model.

Qualifications

• Strong academic background in a technical field such as Computer Science, Engineering, Mathematics, or Physics.
• Deep expertise in Python or Rust.
• Previous work on high‑performance or latency‑sensitive systems (professional or personal projects).
• Experience with multithreading, SIMD, and Linux‑based compute environments.
• Solid understanding of computer architecture, memory behaviour, and performance optimisation.

Seniority Level

Associate

Employment Type

Full‑time