Quantitative Risk Analyst - Commodities - #1759780

Millennium


Date: 1 day ago
City: London
Contract type: Full time
Work schedule: Full day
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.

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.

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