Quantitative Researcher: ML-Driven Trading Models

Trading Interview; Greater London; Hybrid; GBP 90,000 - 160,000; Full time

Benefits offered by this job

Private medical

Vision and dental insurance

Travel medical insurance

Life assurance

Income protection

Parking

Cycle scheme

Job summary

Jump Trading Group in London seeks Quantitative Researchers to analyze vast data sets and extract insights for predictive trading models. You will apply statistics, machine learning, and data engineering across forecasting tasks and live markets to drive results.

You will collaborate with researchers, traders, and tech teams to push methodological innovation and deliver robust market forecasts in a fast-paced environment.

Qualifications

• Proven results with profitable trading strategies.
• Strong programming in C++/Python in Linux.
• Experience with forecasting and data mining techniques (regression, neural nets, SVM).
• Experience building statistical models in trading.
• Experience handling large data sets for modeling.
• Interest in advancing ML within trading.
• Proficiency in Python, R or MATLAB for research support.
• Masters or PhD in Statistics, Physics, or Mathematics.
• Desire to work in a collaborative, team-driven environment.
• Reliable and predictable availability.

Responsibilities

• Analyze tens of thousands of data sets to identify patterns in financial markets.
• Apply statistical analysis, machine learning, and data engineering to forecasts and trading models.
• Collaborate with scientists, traders, hardware and software developers, and business teams.

Skills

Trading strategies

C++/Python

Forecasting

Statistical models

Large datasets

ML in trading

Python/R/MATLAB

Collaboration

Reliability

Education

Masters or PhD in Statistics, Physics, Mathematics

Tools

Linux

MATLAB

Job description

Jump Trading Group in London seeks Quantitative Researchers to analyze vast data sets and extract insights for predictive trading models. You will apply statistics, machine learning, and data engineering across forecasting tasks and live markets to drive results.

You will collaborate with researchers, traders, and tech teams to push methodological innovation and deliver robust market forecasts in a fast-paced environment.