Quantitative Risk Analyst - Commodities
London - 10 Old Burlington Street, United Kingdom
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Engineering FinTech Machine Learning Mathematics Pandas PhD Physics Python Research Scikit-learn SQL
Perks/benefits: Career development
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