Quantitative Risk Analyst - Commodities | London, UK

Millennium Management, LLC; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading hedge fund is seeking a Quantitative Risk Analyst to join their London team. The role involves analyzing commodities risk, developing quantitative models, and collaborating with portfolio managers across Europe and Asia. Ideal candidates will have a strong quantitative background and excellent coding skills.

Qualifications

• Minimum 3 years of professional experience in a relevant role.
• Experience with designing and developing trading tools.

Responsibilities

• Build data analysis models to identify performance patterns.
• Design and implement risk and scenario visualization tools.
• Collaborate with risk managers and various teams.

Skills

Python

Data Science

Machine Learning

Communication

Teamwork

Education

Masters or PhD in quantitative field

Tools

Pandas

scikit-learn

SQL

Dash

Panel

Job description

Quantitative Risk Analyst - Commodities

Millennium Management, LLC London, United Kingdom

Millennium Management, LLC London, United Kingdom

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.

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