Highlights
- 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 commercially minded 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'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 will work in a collaborative, matrix‑style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.
As part of this role you will model across multiple areas and projects, outside of a highly regulated environment. You need to be adaptable, curious, and genuinely passionate about risk modelling. 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.
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 £90,000 plus a 20%+ bonus, alongside 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.
What's next?
Apply with your CV, and we’ll be in touch to arrange a conversation if it’s a good fit! Got questions? Drop Tegan a message.
