Quant Risk Analyst, Commodities - Data-Driven Dashboards

Millennium Management LLC; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A multi-strategy hedge fund in London is seeking a Quantitative Risk Analyst to analyze and monitor Commodities risk, develop quantitative models, and collaborate with global portfolio managers. Successful candidates will have a Master’s or PhD in a quantitative field alongside a minimum of three years of relevant experience in a financial institution. Strong coding skills in Python and experience with trading tools are essential. This role requires excellent communication skills and the ability to thrive in a fast-paced environment.

Qualifications

• Minimum 3 years of professional experience in a quant role.
• Strong coding skills required, especially in Python and SQL.
• Experience in risk modeling, trading tools, and GUI development.

Responsibilities

• Analyze and monitor Commodities risk for the fund.
• Build data analysis models to identify performance patterns.
• Develop option pricing and volatility models.
• Collaborate with risk managers and technology teams.

Skills

Strong coding skills (Python)

Data science stack (Pandas, scikit-learn)

SQL proficiency

Experience in risk modeling

Strong communication skills

Team collaboration

Entrepreneurial inclination

Education

Masters or PhD in quantitative field

Tools

Dash/Panel for GUI development

Job description

A multi-strategy hedge fund in London is seeking a Quantitative Risk Analyst to analyze and monitor Commodities risk, develop quantitative models, and collaborate with global portfolio managers. Successful candidates will have a Master’s or PhD in a quantitative field alongside a minimum of three years of relevant experience in a financial institution. Strong coding skills in Python and experience with trading tools are essential. This role requires excellent communication skills and the ability to thrive in a fast-paced environment.