Teams at Man Group

Summer interns will work in Man Group’s Fast Trading Strategies team on machine learning engineering or quantitative research. MLE interns develop software, MLOps systems, and research workflows. QR interns use high-frequency tick data and machine learning algorithms to predict asset returns and develop profitable trading strategies. Both roles require strong programming, especially Python, and collaboration on model deployment and high-frequency trading infrastructure.

Provides associate-level support to the US Sales team by managing client inquiries, CRM records, reporting, onboarding, portfolio reviews, due diligence, RFPs, conferences, client communications, subscriptions, redemptions, commercial agreements, and compliance-related processes. The role partners with internal stakeholders and supports alternative investment clients across North America.

Develop and improve quantitative equity investment strategies across the full research lifecycle, including idea generation, complex data sourcing, signal construction, statistical and machine learning analysis, portfolio construction, risk modeling, trading cost analysis, and execution. The role requires presenting research findings, collaborating with investment research teams, and applying advanced quantitative methods to real investment problems.