Quant Risk Analyst - Commodities Analytics & Models

Saragossa; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading energy trading firm in Greater London seeks a Quantitative Risk Analyst to work on diverse quantitative risk and analytics initiatives. You will develop and enhance risk models using Python, ensuring accuracy in risk metrics crucial for decision-making. This role requires a solid background in commodities and strong technical skills, offering autonomy and direct access to senior management. If you are passionate about influencing the future of commodities, apply directly at the provided email.

Qualifications

• Strong background in commodities is required.
• Experience with risk metrics like VAR and PFE.
• Proficiency in Python for risk model development.

Responsibilities

• Build and enhance risk models in Python.
• Improve and develop core risk metrics for accuracy and scalability.
• Collaborate closely with traders and risk managers.

Skills

Quantitative risk analysis

Risk modelling

Python programming

Market understanding

Job description

A leading energy trading firm in Greater London seeks a Quantitative Risk Analyst to work on diverse quantitative risk and analytics initiatives. You will develop and enhance risk models using Python, ensuring accuracy in risk metrics crucial for decision-making. This role requires a solid background in commodities and strong technical skills, offering autonomy and direct access to senior management. If you are passionate about influencing the future of commodities, apply directly at the provided email.