Quantitative Risk Analyst - Commodities

Millennium Management; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading multi-strategy hedge fund is seeking a Quantitative Risk Analyst to join its Risk Management team in London. The role involves building data analysis models, developing risk visualization tools, and working closely with portfolio managers across Europe and Asia. Ideal candidates will have a strong academic background in quantitative studies, substantial coding skills, and the ability to thrive in a dynamic and fast-paced environment.

Qualifications

• 3+ years experience in Trading, Risk or Quant role.
• Strong coding skills in Python and SQL, experience with data science.
• Ability to work collaboratively with portfolio managers.

Responsibilities

• Build models for performance and risk analysis in Commodities.
• Design risk and scenario visualization tools.
• Collaborate with risk managers and technology teams.

Skills

Python

Data Science

Machine Learning

SQL

Communication

Teamwork

Education

Masters or PhD in quantitative field

Tools

Dash

Panel

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.
• The role with 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.