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Quantitative Risk Analyst - Commodities

Job in Central London, Greater London, England, UK
Listing for: Millennium
Full Time position
Listed on 2025-10-13
Job specializations:
  • Finance & Banking
    Data Scientist, FinTech
  • IT/Tech
    Data Scientist, Data Analyst, FinTech
Job Description & How to Apply Below
Location: City of London

Overview

Join to apply for the Quantitative Risk Analyst - Commodities role at Millennium
.

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.

Location: London

Responsibilities
  • Build data analysis models to identify patterns in portfolio managers' performance and highlight top PnL and risk drivers (e.g., 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.
  • Handle large data sets and apply machine learning techniques to enhance traditional risk measures.
  • Collaborate with risk managers across asset classes and with technology and data teams to capture requirements and monitor delivery.
  • Regular interaction with portfolio managers across Europe and Asia.
Qualifications / Skills
  • Masters or PhD level training in a quantitative field, e.g., Engineering, Computer Science, Mathematics or Physics.
  • Minimum 3 years professional experience in Trading, Structuring, Risk or Quant role within a financial institution, fintech, trading house, or commodities house.
  • Strong coding skills:
    Python, 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 alpha research, portfolio optimization, commodities or trading environment is a plus.
  • Ability to fit into the active culture of Millennium and deliver timely solutions to risk management issues within the firm.
  • Entrepreneurial inclination: ability to work independently and act as a project manager.
  • Strong written and verbal communication skills.
  • Good team player who can prioritize in a fast-moving, high-pressure, constantly changing environment.
  • Ability to work with Portfolio Managers and foster collaborative relationships.
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