Quantitative Risk Analyst - Commodities

Millennium Management LLC; City Of London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading hedge fund in London seeks a Quantitative Risk Analyst to join their Risk Management team. The role involves analyzing commodities risk, building quantitative models for risk measurement, and developing trading tools. Candidates should have a Master's or PhD in a quantitative field and strong experience in trading or risk analysis, particularly with Python and data science proficiency.

Qualifications

• 3+ years in Trading, Risk, or Quant role required.
• Strong coding skills in Python and data science stack are essential.
• Experience in designing risk models and trading tools.

Responsibilities

• Build data analysis models for portfolio managers.
• Design and implement risk visualization tools.
• Develop pricing and volatility models with Quant Technology team.

Skills

Python

Data analysis

Machine learning

SQL

Strong communication skills

Education

Masters or PhD in quantitative field

Tools

Pandas

scikit-learn

Dash

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 will 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.