Research Developer - Graduate

Quant Capital; Greater London; On-site; GBP 35,000 - 55,000; Full time

Job summary

Quant Capital is seeking a highly technical graduate to join its trading research team as a Research Developer in London. You will work on real trading problems, applying statistics, machine learning, and production-grade coding to uncover signals in noisy market data and to turn research ideas into live automated trading strategies.

The role focuses on practical research: testing hypotheses, building models, and analyzing results to improve trading outcomes.

Qualifications

• Strong knowledge of statistics, probability or machine learning.
• Solid coding ability in Python, C++ or Java.
• Graduate from a highly technical degree such as computer science, maths, statistics, engineering or physics.

Responsibilities

• Research predictive signals using large, noisy financial datasets.
• Build and test models for automated trading strategies.
• Write production-quality code in Python, C++ or Java.
• Analyse strategy performance and understand what is driving results.
• Work with researchers to move ideas from prototype to live trading.
• Improve datasets, tools and research workflows.
• Take ownership of work from initial idea through to measured outcome.

Skills

Statistics

Probability

Machine learning

Python

C++

Java

Education

Technical degree

Job description

Quant Capital is working with a leading systematic trading firm looking for a graduate Research Developer to join its trading research team.

This is a role for someone who wants to work on real trading problems, using statistics, machine learning and code to find signals in noisy market data. You will be working with quantitative researchers on ideas that can move from research into live automated trading.

The focus is practical research. You will test hypotheses, build models, analyse results and help turn good ideas into robust trading strategies.

The role

• Research predictive signals using large, noisy financial datasets
• Build and test models for automated trading strategies
• Write production-quality code in Python, C++ or Java
• Analyse strategy performance and understand what is driving results
• Work with researchers to move ideas from prototype to live trading
• Improve datasets, tools and research workflows
• Take ownership of work from initial idea through to measured outcome

What we are looking for

• Graduate from a highly technical degree such as computer science, maths, statistics, engineering or physics
• Strong knowledge of statistics, probability or machine learning
• Solid coding ability in Python, C++ or Java
• Genuine interest in systematic trading and markets
• Comfortable working with messy real-world data
• Ambitious, practical and focused on results
• Low ego and happy working both independently and in a small team

Useful experience

• Internship in quant research, trading, data science or software engineering
• Time-series modelling, backtesting or signal research
• Machine learning applied to real-world datasets
• Personal projects involving markets, data or numerical research

This is a strong opportunity for a technically sharp graduate who wants to work close to trading, where research quality, coding ability and commercial impact are tightly linked.

All applications are handled in strict confidence.