Quantitative Risk Analyst - Commodities

H&P Executive Search; London; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

A leading executive search firm is seeking a Quant Risk Analyst in London to analyze commodities risk and develop models for performance and risk analysis. In this full-time role, you'll be integral in designing dashboards and collaborating with top-tier quant teams. Ideal candidates will possess advanced degrees and at least 3 years of experience in quantitative analysis, particularly within trading or risk domains. Strong programming skills, especially in Python, are essential.

Qualifications

• Advanced degree in Engineering, Computer Science, Mathematics, or Physics.
• Minimum of 3 years’ experience in Trading, Structuring, or Risk.
• Hands-on experience in data science ecosystem.

Responsibilities

• Develop data-driven analytical models for performance and risk analysis.
• Design and implement interactive dashboards for decision support.
• Collaborate with Quant Technology team on pricing and volatility models.

Skills

Programming skills

Quantitative analysis

Risk analysis

Education

Master’s or PhD in quantitative discipline

Tools

Python

SQL

Job description

Direct message the job poster from H&P Executive Search

Client - Hedge Fund

Location - London

The Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis.

Responsibilities:

• Develop data-driven analytical models to uncover performance patterns among portfolio managers and pinpoint key drivers of P&L and risk (e.g., factor models, risk decomposition).
• Design and implement interactive dashboards for risk analysis and scenario visualization, providing intuitive GUI tools for decision support.
• Collaborate with the Quant Technology team to build and enhance option pricing and volatility models.

Skills:

• Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics.
• Minimum of 3 years’ experience in a professional role within Trading, Structuring, Risk, or Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities house.
• Strong programming skills, particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL. Experience with GUI development tools such as Dash, Panel, or equivalent is a plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst, Other, and Information Technology

• Industries

  Oil and Gas, Oil, Gas, and Mining, and Financial Services

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