Quantitative Researcher | Trading Team

Trading Interview; Greater London; On-site; 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 is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.

Skills You’ll Need:

• Proven success with profitable trading strategies
• Strong programming skills in C++/Python in a Linux environment
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines
• Strong experience developing statistical models in a trading environment
• Proven success working with large data sets and developing statistical models
• Fascinated and interested in advancing machine learning within the trading community
• Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts
• Masters or PhD in Statistics, Physics, Mathematics (or related subject)
• Desire to work within a collaborative, team-driven environment
• Reliable and predictable availability

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Life Assurance and Income Protection Schemes
• Parking and Cycle Schemes