Energy Markets Risk Manager (Quant Modelling & Data)

Sentinel; Easter Howgate; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Performance-related bonus

Benefits package

Job summary

Sentinel is seeking a Risk Manager to strengthen quantitative modelling and risk data capabilities across an energy portfolio. Edinburgh or Perth, hybrid role with 50% office presence, permanent full-time position.

You will translate trading strategies into risk measures, enhance data pipelines, and report risk insights to senior stakeholders, while mentoring a small team of analysts.

Qualifications

• Must have experience developing quantitative risk models in energy/commodities/markets.
• Strong Python and data analysis skills; SQL, PySpark or cloud platforms.
• Knowledge of stochastic modelling and time series analysis.
• Experience collaborating with trading or commercial teams and leading analysts.

Responsibilities

• Develop quantitative models translating trading strategies and market exposures into clear risk measures and insights.
• Improve data pipelines and analytical processes that support risk reporting.
• Collaborate with trading desks, commercial teams and technology colleagues to evaluate new strategies and products.
• Present findings to senior stakeholders and risk committees; support team development.

Skills

Stochastic modelling & time series

Team leadership & communication

Experience with energy/commodities

Presenting to stakeholders

Independent problem solving

Tools

Python

SQL

PySpark

Cloud platforms

Job description

Risk Manager - Quant Modelling & Data

Location: Edinburgh or Perth, with 50% of the working week in the office

Compensation: Basic salary plus performance-related bonus and benefits

Employment: Permanent, full time

We are supporting a major energy business in its search for a Risk Manager to strengthen quantitative modelling and risk data capabilities across a diverse energy portfolio. This is an opportunity to influence decisions spanning renewable generation, thermal assets and energy trading while leading a small team of analysts.

The role

You will develop and enhance quantitative models that translate trading strategies and market exposures into clear risk measures and insights. You will also improve the data pipelines and analytical processes that support timely, reliable risk reporting. Working closely with trading desks, commercial teams and technology colleagues, you will help assess new strategies, bespoke contracts and emerging products. You will present findings to senior stakeholders and risk committees, while supporting the development of your team.

What we are looking for

• Experience developing quantitative risk models in energy, commodities or financial markets, with strong knowledge of power and gas markets.


• Advanced Python and data analysis skills, alongside experience with SQL, PySpark or cloud-based data platforms.


• A sound grasp of stochastic modelling, simulation methods and time series analysis.


• Experience working directly with trading or commercial teams.


• The ability to lead analysts and communicate complex findings clearly to both technical and non-technical audiences.