Quant Dev: Build Low-Latency Trading Systems

Tradermath; City of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading quantitative trading firm in the UK is seeking a Quantitative Developer to join their Core Engineering team. The role involves designing high-performance services in Rust and Python, collaborating closely with quantitative researchers, and requires a degree in a STEM field alongside 2-5 years of software engineering experience. The company offers a collaborative culture and benefits including generous paid time off and wellness programs.

Benefits

Generous paid time off

Hybrid working opportunities

Free breakfast, lunch and snacks daily

Wellness reimbursement

Continuous learning opportunities

Qualifications

• 2-5 years of professional software-engineering experience, including production systems written in Python.
• Experience working with real-time and historical market data or other high-volume time-series data.
• Proficiency in Linux development and familiarity with at least one columnar or time-series data store.

Responsibilities

• Design, implement, and maintain high-performance services in Rust and Python.
• Collaborate closely with quantitative researchers to iterate on data pipelines.
• Translate research prototypes into production-ready code with testing and monitoring.

Skills

Rust

Python

Algorithms

Data structures

Concurrency

Networking

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, or related STEM field

Tools

Linux development

Git

CI/CD workflows

SQL

Job description

A leading quantitative trading firm in the UK is seeking a Quantitative Developer to join their Core Engineering team. The role involves designing high-performance services in Rust and Python, collaborating closely with quantitative researchers, and requires a degree in a STEM field alongside 2-5 years of software engineering experience. The company offers a collaborative culture and benefits including generous paid time off and wellness programs.