Quant Research Internship: 3 Rotations in Systematic Trading

Man Group; Greater London; Hybrid; GBP 50,000 - 90,000; Full time

Benefits offered by this job

Mankind days of paid leave

Diversity and inclusion initiatives

Pension / 401k

Private medical coverage

Flexible working arrangements

Job summary

Man Group, a global investment management firm headquartered in London, invites applications for a Junior Quantitative Researcher within Man AHL. You will explore systematic trading strategies, work with researchers across AHL, and apply quantitative techniques to large datasets while staying current with relevant literature.

A formal training path and mentorship are provided. The role emphasizes strong mathematical, statistical, or computing foundations, with opportunities to rotate across

Qualifications

• PhD, Masters or Bachelor’s Degree in a quantitative subject.
• Interest in algorithmic trading and financial markets.
• Practical coding experience in Python is preferred.
• Ability to apply quantitative techniques to large datasets.

Responsibilities

• Research, develop and implement trading strategies.
• Collaborate with AHL researchers across teams.
• Follow industry and academic literature for innovations and potential applications.
• Apply quantitative techniques and market intuition to diverse datasets.
• Interact with other research teams to contribute to the broader agenda.

Skills

Mathematics / statistics background

Computing skills

Analytical mindset

Research ability

Team collaboration

Education

Bachelor/Master/PhD in quantitative field

Tools

Python

Job description

Man Group, a global investment management firm headquartered in London, invites applications for a Junior Quantitative Researcher within Man AHL. You will explore systematic trading strategies, work with researchers across AHL, and apply quantitative techniques to large datasets while staying current with relevant literature.

A formal training path and mentorship are provided. The role emphasizes strong mathematical, statistical, or computing foundations, with opportunities to rotate across