Quant Risk Analyst, Commodities — Build Risk Models in Python

Saragossa; England; On-site; GBP 70,000 - 110,000; Full time

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)

Job description

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.