Quant Researcher - Multi-Strategy Alpha & Risk

LGBT Great

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

45 hours ago
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Benefits offered by this job

Two annual 'Mankind' days of paidleave
Diversity and inclusion initiatives
Pension and life insurance

Job summary

Man Group, a leading global investment firm based in London, seeks a quantitative portfolio professional to advance portfolio construction, risk management and research across multiple funds. You will collaborate with researchers and traders, applying advanced statistics, machine learning and Python-based tooling to maximize alpha and manage risk in both systematic and discretionary strategies.

Ideal candidates will have 2+ years of post-graduate buy-side or sell-side experience, strong

Qualifications

  • 2+ years of post-graduate buy-side or sell-side experience (essential).
  • Strong analytical ability with a deep understanding of statistics and machine learning.
  • Experience with portfolio construction techniques and risk modelling.

Responsibilities

  • Improve existing portfolios and develop portfolio construction methods.
  • Conduct cutting-edge research in alpha combination and allocations.
  • Collaborate with quantitative researchers and traders on research initiatives.
  • Develop tools and models for day-to-day portfolio and risk management.
  • Contribute to the firm's research effort across multiple teams.

Skills

Quant/Portfolio analytics
Statistical methods
Machine learning
Python programming
NumPy/SciPy/Pandas
Large dataset handling
Risk management
Portfolio construction

Education

Mathematics/Statistics/Computing degree

Tools

Python

Job description

Man Group, a leading global investment firm based in London, seeks a quantitative portfolio professional to advance portfolio construction, risk management and research across multiple funds. You will collaborate with researchers and traders, applying advanced statistics, machine learning and Python-based tooling to maximize alpha and manage risk in both systematic and discretionary strategies.

Ideal candidates will have 2+ years of post-graduate buy-side or sell-side experience, strong

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