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Quantitative Developer | Systematic Research

NJF Global Holdings Ltd

Greater London

On-site

GBP 60,000 - 100,000

Full time

25 days ago

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Job summary

An established industry player seeks a talented Quantitative Developer to enhance its Research Engineering function. In this role, you will work alongside quants and PMs, developing and managing infrastructure that drives alpha generation. Your expertise in Python and C++ will be pivotal as you engineer robust research tools and design systems for massive data ingestion and backtesting. This position offers an exciting opportunity to collaborate directly with researchers, driving technical strategy while maintaining high coding standards. If you thrive in a fast-paced, dynamic environment and are passionate about quantitative research, this role is perfect for you.

Qualifications

  • 5+ years in systematic trading or quant research environment.
  • Fluency in Python and/or C++ with a strong engineering mindset.

Responsibilities

  • Engineering research tools in Python and C++ for scale and speed.
  • Collaborating with researchers to productionize models.

Skills

Python
C++
Distributed Systems
Data Pipelines
Machine Learning Tooling

Job description

Quantitative Developer | Systematic Research

A high-performing global quant fund is scaling its Research Engineering function — and we're looking for a Quantitative Developer who's already familiar with the demands of a hedge fund or trading environment.

You'll be embedded directly in the research process, working shoulder-to-shoulder with quants and PMs, building and owning the infra that powers alpha generation.

What You’ll Actually Be Doing

  • Engineering research tools in Python and C++, built for scale and speed
  • Designing systems to handle massive data ingestion, feature engineering, and backtesting
  • Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines
  • Leveraging HPC and distributed compute to run smarter, faster, and bigger
  • Driving technical strategy while still writing clean, high-impact code

What You’ll Need to Bring

  • 5+ years in a systematic trading or quant research environment
  • Fluency in Python and/or C++, with a strong engineering mindset
  • Hands-on with distributed systems, data pipelines, or ML tooling
  • Ability to partner with researchers without translation layers
  • Comfortable with ownership, ambiguity, and pace
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Research, Finance, and Information Technology

Industries

Financial Services, Software Development, and Research Services

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