Quantitative Risk Analyst - Commodities

JR United Kingdom; Slough; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading firm based in Slough, UK, seeks a highly skilled Quantitative Risk Analyst to analyze commodities risk and build quantitative models. The successful candidate will develop data-driven analytical models, design interactive dashboards, and collaborate with technology teams to enhance risk and pricing models. This role requires an advanced degree and a minimum of three years in a relevant financial or analytical field.

Qualifications

• Minimum of 3 years' experience in trading, structuring, risk, or quantitative analysis.
• Strong programming skills in Python and data science tools.
• Advanced degree in Engineering, Computer Science, Mathematics, or Physics.

Responsibilities

• Develop data-driven analytical models for performance patterns.
• Design interactive dashboards for risk analysis.
• Collaborate with technology teams to enhance models.

Skills

Programming

Risk Analysis

Data Science

Education

Master’s or PhD in a quantitative discipline

Tools

Python

SQL

Pandas

scikit-learn

Dash

Panel

Job description

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Quantitative Risk Analyst - Commodities, Slough

Client: H&P Executive Search

Location: Slough, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

3

Posted:

27.06.2025

Expiry Date:

11.08.2025

Job Description:

Client: Hedge Fund

Location: London

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

Responsibilities:

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

Skills:

1. Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics.
2. 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.
3. Strong programming skills, especially in Python, with experience in data science tools (e.g., Pandas, scikit-learn), and SQL. Experience with GUI development tools like Dash or Panel is a plus.