Python Developer - Quantitative Developer - Tribus

eFinancialCareers; Greater London; On-site; GBP 86,166 - 124,462; Full time

Job summary

Quantitative Developer – Research Team in Hong Kong with relocation packages invites you to join a leading global trading firm. You will design and build Python and C++ tools for quantitative research and signal generation, collaborating with researchers and traders to translate requirements into scalable software.

The role involves handling large-scale data pipelines, implementing algorithms including regressions and machine learning models, and leveraging HPC for performance.

Qualifications

• 5+ years of hands-on coding experience solving complex problems.
• Strong skills in Python and/or C++.
• Exposure to distributed computing, ML, platform design, or system architecture.
• Passion for technology, mathematics, and quantitative problem-solving.
• Ability to work autonomously and mentor others.

Responsibilities

• Design and build Python and C++ tools for quant research and signal generation
• Partner with researchers and traders to translate requirements into software solutions
• Handle large-scale data ingestion and processing pipelines
• Implement and optimize algorithms, including regressions and machine learning models
• Leverage HPC and distributed systems for performance and scalability

Skills

Python

C++

Distributed computing

Machine learning

Platform design

System architecture

Mentoring

Tools

HPC

Distributed systems

Job description

Quantitative Developer – Research Team - Hong Kong - Relocation Packages

A leading global trading firm is looking for a Quantitative Developer to join its research technology group. This team builds the infrastructure powering trading signal research, enabling researchers and traders to test and scale strategies across global markets.

What you’ll do

• Design and build Python and C++ tools for quant research and signal generation
• Partner with researchers and traders to translate requirements into software solutions
• Handle large-scale data ingestion and processing pipelines
• Implement and optimize algorithms, including regressions and machine learning models
• Leverage HPC and distributed systems for performance and scalability
• Maintain, troubleshoot, and improve existing platforms

What we’re looking for

• 5+ years of hands‑on coding experience solving complex problems
• Strong skills in Python and/or C++
• Exposure to distributed computing, ML, platform design, or system architecture
• Passion for technology, mathematics, and quantitative problem-solving
• Ability to work autonomously and mentor others

This is a unique chance to contribute at the heart of a global trading research team, combining software engineering with quantitative innovation.

Leading industry compensation & relocation available