Quantitative Risk Analyst - Commodities

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

Quantitative Risk Analyst - Commodities

Millennium Partners is a multi‑strategy hedge fund investing in a broad range of asset types including: Equities, Commodities, and Fixed Income products.

The firm is looking to recruit a Quantitative Risk Analyst in the Risk Management team in charge of covering the fund’s Global Commodities & Quant Futures/FX strategies.

General Information

• Hiring Department/Group: Risk Management
• Job Title: Quant Risk Analyst/ Manager (dependent on years of experience)
• Office Location: London

Job Function Summary

The Quant Risk Analyst will help analyze & monitor the Millennium’s Commodities risk, build quantitative models for performance & risk analysis, and participate in the implementation of add‑hoc simulation models for risk measurement (e.g. VaR improvement, scenario analysis, etc.).

Principal Responsibilities

• Build data analysis models to identify patterns in portfolio managers performance and highlight top pnl and risk drivers (eg factor models, risk decomposition)
• Design and implementation of risk and scenario GUI / visualization tools (dashboards).
• Development of option pricing & volatility models in partnership with the Quant Technology team
• Handling of large data sets, use of machine learning techniques to enhance traditional risk measures.
• Collaborate with risk managers across asset classes as well as various technology and data teams within the firm, capturing requirements, and monitoring delivery.
• Regular interaction with portfolio managers across Europe and Asia.

Qualifications/Skills Required

• Masters or PhD level training in quantitative field, e.g. Engineering, Computer science, Mathematics or Physics
• Min 3 yrs professional experience in Trading, Structuring, Risk or Quant role, in Financial institution, Fintech, Trading house, or Commodities house.
• Strong coding skills required: Python, proficiency in data science stack (Pandas, scikit‑learn or equivalent), SQL. Familiarity with GUI development (Dash, Panel or equivalent).
• Experience designing, developing and deploying trading tools and GUIs and at least one of the following: risk models, option pricers, alpha signals, portfolio optimizers, trading algorithms.
• Experience in an alpha research, portfolio optimization, Commodities or Trading environment is a plus.
• Candidate will need to fit into the active culture of Millennium, judged by the ability to deliver timely solutions to risk management issues within the firm.
• Entrepreneurial inclination: ability to work alone and act as a project manager.
• Strong communication skills both written and verbal.
• Good team player – one who is able to prioritize in a fast moving, high pressure, constantly changing environment.
• Ability to work with Portfolio Managers and foster collaborative relationships.