Quantitative Researcher, Trading Analytics & ML

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

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.