Quantitative Researcher | Trading team

P2P; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global quantitative trading firm is seeking Quantitative Researchers in London. The role involves analyzing complex data sets, developing statistical models, and collaborating with scientists and traders to enhance trading strategies. Ideal candidates will have strong programming skills in C++/Python, a background in statistical modeling, and a Master's or PhD in a relevant field. The position offers competitive benefits and a dynamic work environment.

Benefits

Medical, dental and vision insurance

Group Term Life and AD&D Insurance

Paid vacation plus paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Qualifications

• Proven success with profitable trading strategies.
• Strong programming skills in C++/Python in a Linux environment.
• Working knowledge of forecasting and data mining techniques.
• Strong experience developing statistical models in a trading environment.
• Proven success working with large data sets.
• Interest in advancing machine learning.
• Desire to work within a collaborative, team-driven environment.

Responsibilities

• Collect and analyze data sets to identify patterns.
• Develop predictive trading models using statistical analysis.
• Collaborate with scientists, traders, and developers.

Skills

Profitable trading strategies

Programming skills in C++/Python

Statistical analysis

Data mining techniques

Statistical models

Machine learning

Collaboration

Education

Masters or PhD in Statistics, Physics, Mathematics

Tools

Python

R

MATLAB

Job description

Overview

Jump’s London office is the hub for managing Jump’s substantial United Kingdom, European and expanding Middle Eastern operations, which includes all aspects of Jump’s robust activities, including quantitative research and development, trading, trading and back office systems development, and venture and strategic investments. Working in the London office has the feel of a smaller company with the benefits of being an integral part of one of the world’s leading global quantitative trading firms. Our Amsterdam office was born in 2018 as our first step into mainland Europe. Amsterdam is at the forefront of everyday European Trading events.

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.

Responsibilities

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.

Qualifications

• 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

• Medical, dental and vision insurance
• Group Term Life and AD&D Insurance
• Paid vacation plus paid holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs