Equities Quant Researcher — High-Frequency ML & Trading

IMC B.V.; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global trading firm is seeking an experienced Quantitative Researcher to develop delta one trading strategies and predictive models for Equities markets. The ideal candidate should have a graduate degree in a STEM subject, over 3 years of experience in delta one trading, and strong skills in machine learning and statistics. Collaboration with global teams is essential for enhancing trading models and improving performance. This role is perfect for those passionate about innovation and high-frequency trading.

Benefits

Cutting-edge technology

Collaborative work culture

Opportunities for innovation

Qualifications

• 3+ years of experience as a Quantitative Researcher in delta one trading, ideally within Equities markets.
• Strong programming skills in at least one language, preferably Python.
• Practical experience extracting value from diverse data sources.

Responsibilities

• Conduct large-scale data analysis to inform trading decisions.
• Collaborate with global teams to enhance models and performance.
• Define strategic direction for research and tooling initiatives.
• Build a deep understanding of market dynamics.

Skills

Machine Learning

Statistical analysis

Python programming

Data analysis

Communication skills

Education

Graduate degree in Machine Learning, Statistics, or a STEM subject

Job description

A global trading firm is seeking an experienced Quantitative Researcher to develop delta one trading strategies and predictive models for Equities markets. The ideal candidate should have a graduate degree in a STEM subject, over 3 years of experience in delta one trading, and strong skills in machine learning and statistics. Collaboration with global teams is essential for enhancing trading models and improving performance. This role is perfect for those passionate about innovation and high-frequency trading.