Senior Risk Modeller

If you’re the kind of data scientist who doesn’t just tweak models but creates them from the ground up, this is your chance to make a real impact. We’re looking for a commercially minded Senior Risk Modeller with a strong data science background to join a forward-thinking team shaping critical financial forecasts. In this role, you’ll take ownership of sophisticated models that help make major business decisions – from residual value forecasting to insurance pricing and economic capital.
 
What you’ll be doing:
It’s a role for someone who thrives on building and enhancing models from scratch, who can bridge the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and have a direct hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme.

You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated.
 
You’ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business… sound like you? Apply now!
 
What experience you’ll need to apply:

• Solid track record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch
• Proficiency with statistical tools and programming languages such as R, Python, or SAS
• Experience leading complex model updates – both operational enhancements and full development projects – with the ability to clearly communicate outcomes to stakeholders
• Strong problem-solving skills, able to design creative and commercially strong modelling solutions
• Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions
• A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline.
• Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines
• Desirable: industry experience in sectors such as finance, automotive or similar, and exposure to advanced techniques like machine learning or predictive modelling

What you’ll get in return:
A salary of up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll be working in the London office, a minimum three days per week and the rest remote.
 
What’s next?
Apply with your updated CV, and we’ll review your application as soon as possible to arrange a conversation. For any questions, just drop Tegan an email.