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.
Were looking for a commercially minded Senior Data Scientist with a passion for building risk models. If youre the kind of data scientist who doesnt just tweak existing models but creates them from scratch, this is your chance to make a real impact!
What youll be doing
This role is all about risk (we cant stress that enough!). Were 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, youll 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, youll 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.
Youll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. Youll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now!
What experience youll 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 youll get in return
Up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. Youll work from the London office three days per week, with flexibility to work remotely the rest of the time.
Whats next?
Apply with your CV, and well be in touch to arrange a conversation if its a good fit! Got questions? Drop Tegan a message.
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