Quant Risk Analyst - Commodities

Saragossa

England

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

A leading energy trading firm in the UK seeks a Principal Consultant to work on quantitative risk and analytics in commodities. You will build and enhance risk models in Python, directly impacting decision-making through accurate metrics. Ideal candidates have a strong understanding of commodities and risk measurements, with hands-on experience in related fields. This full-time role offers genuine autonomy and access to senior stakeholders, engaging in work that pushes the future of commodities.

Qualifications

Strong background in commodities is required.
Proficient in building and enhancing risk models.
Experience with risk metrics such as VAR and PFE.

Responsibilities

Build and enhance risk models in Python.
Improve and develop core risk metrics.
Work closely with traders and risk managers.

Skills

Python

Modeling

Risk metrics (VAR, CAR, PFE, Liquidity at Risk)

CAR

PFE

Liquidity at Risk

Tools

Python

Job description

Principal Consultant at Saragossa - Creating competitive advantage for investment technology organisations | Front office

Want to work at one of the most successful energy trading firms?

Here you’ll take on a broad mix of quantitative risk and analytics work across a wide range of commodities products. If you enjoy variety and real impact, this is the kind of role that offers both.

You’ll stay hands‑on - building and enhancing risk models in Python, working closely with traders, risk managers and the wider analytics teams, and shaping how the firm measures and manages risk. Reporting directly to the Lead Quant Risk, you’ll have genuine autonomy and access to senior stakeholders who value strong technical judgement.

Day to day, you’ll be improving and developing the firm’s core risk metrics, ensuring they’re accurate, scalable and aligned with how the business trades. It’s a role where your technical depth and market understanding will genuinely influence decision‑making.

You’ll need a background in commodities, alongside strong modelling and risk metrics (VAR, CAR, PFE, Liquidity at Risk) and Python skills.

If you want to join a firm pushing the future of commodities, apply or get in touch directly at megan@saragossa.io

No up‑to‑date CV required.

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