At a Glance
- Tasks: Build and enhance risk models across various sectors to drive business impact.
- Company: Join a leading firm in risk modelling with a collaborative culture.
- Benefits: Earn up to £90,000 plus bonuses, with flexible remote work options.
- Other info: Dynamic role with opportunities to work on diverse risk projects.
- Why this job: Make a real impact by creating innovative risk models from scratch.
- Qualifications: Strong background in risk modelling and proficiency in R, Python, or SAS.
The predicted salary is between 54000 - 72000 £ per year.
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 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.
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.)
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.
Senior Data Scientist - Risk Modelling employer: ADLIB Recruitment | B Corp
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Scientist in Risk Modelling, you will have the opportunity to build impactful models from scratch across various risk domains. With a competitive salary of up to £90,000 plus a generous bonus structure, you will enjoy a flexible work environment in London, fostering both personal and professional growth while working alongside industry leaders on strategic projects.
Contact Details:
ADLIB Recruitment | B Corp Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Risk Modelling
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We think you need these skills to ace Senior Data Scientist - Risk Modelling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at ADLIB Recruitment | B Corp, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ADLIB Recruitment | B Corp. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
