Senior Data Scientist - Risk Modelling

• Build models across credit, insurance, pricing, and more.
• Leading model development from the ground up to drive business impact.
• A great next step for a data scientist who thrives in the modelling space.

We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact!

What you’ll be doing

This role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments.

As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.

This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more.

You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you?

What experience you’ll need

• Strong background in risk modelling and using these insights to inform business decisions
• Proven experience building risk models from scratch and enhancing existing ones
• Excellent skills in R, Python, or SAS
• Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes
• Ability to present to stakeholders and translate risk issues into business applications
• Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.)
• Knowledge of model risk management
• Experience working outside regulated risk environments
• Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling

What you’ll get in return

Up to £70,000-90,000 base salary, plus a strong bonus and a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time.

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