Quantitative Researcher – Cash Equities & Alpha Signals

Man Group; Boston (MA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Discretionary bonus

Pension/401k

Health benefits

Life and long-term disability

Long-service leave

Flexible working arrangements

Job summary

Man Group in Boston is seeking a Quantitative Researcher focused on cash equities to develop intraday predictive alpha signals from order book and alternative data. The role emphasizes applying ML, refining market impact models and solving execution optimization problems.

You will collaborate closely with researchers across the firm to identify high-P&L opportunities. The ideal candidate holds a quantitative PhD or exceptional Masters/Bachelor’s, with expert Python/R skills and strong

Qualifications

• PhD or exceptional Master’s/Bachelor’s in a quantitative field.
• Strong analytical ability with a deep understanding of statistics and ML.
• Ability to deliver projects with high commercial value and impact.
• Hands-on with technology; capable of collaborating across teams.

Responsibilities

• Create high quality intraday predictive alpha signals in cash equities from data sources.
• Apply ML techniques to alpha research and market impact modelling.
• Solve optimal execution optimization problems.
• Identify top P&L opportunities and collaborate with researchers firm-wide.
• Work with researchers, technologists, traders and senior business people.

Skills

Creative thinking

Analytical skills

Statistics/ML knowledge

Python

R

Communication

Education

PhD or exceptional Masters / Bachelor’s in quantitative field

Tools

Python

R

Job description

Man Group in Boston is seeking a Quantitative Researcher focused on cash equities to develop intraday predictive alpha signals from order book and alternative data. The role emphasizes applying ML, refining market impact models and solving execution optimization problems.

You will collaborate closely with researchers across the firm to identify high-P&L opportunities. The ideal candidate holds a quantitative PhD or exceptional Masters/Bachelor’s, with expert Python/R skills and strong