At a Glance
- Tasks: Build and enhance risk models across various sectors like credit, insurance, and climate.
- Company: Join a leading firm focused on innovative risk modelling solutions.
- Benefits: Earn up to £90,000 plus a 20% bonus and enjoy flexible remote work.
- Other info: Opportunity for career growth and exposure to advanced techniques like machine learning.
- Why this job: Make a real impact by creating models from scratch in a collaborative environment.
- Qualifications: Strong background in risk modelling with skills 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!
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 in London employer: ADLIB Recruitment | B Corp
ADLIB Recruitment is an exceptional employer that champions innovation and personal growth, particularly in the dynamic field of AI. With a commitment to hybrid working, employees enjoy a flexible work culture that fosters creativity and collaboration, while also having the opportunity to lead transformative projects that make a real impact. The company prioritises professional development, ensuring that team members are equipped with the skills and knowledge needed to thrive in their roles.
Contact Details:
ADLIB Recruitment | B Corp Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Risk Modelling in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in risk modelling. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your risk models and projects. This is your chance to demonstrate your ability to build models from scratch and how they’ve made a real impact in previous roles.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex statistical techniques in a way that makes sense to stakeholders. Practice explaining your past projects and their outcomes clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Scientist - Risk Modelling in London
Some tips for your application 🫡
Show Your Passion for Risk Modelling:When you're writing your application, make sure to highlight your genuine interest in risk modelling. We want to see that you’re not just experienced but also excited about building models from scratch and making a real impact in this space.
Be Clear and Concise:We appreciate straightforward communication! Make sure your CV and cover letter are easy to read and get straight to the point. Use bullet points where possible to showcase your skills and experiences related to risk modelling.
Tailor Your Application:Don’t just send out the same application everywhere. Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Scientist role. Mention your experience with different types of risk and how it aligns with what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at ADLIB Recruitment | B Corp
✨Know Your Models Inside Out
Make sure you can discuss your previous risk models in detail. Be ready to explain the methodologies you used, the challenges you faced, and how your models impacted business decisions. This shows your depth of knowledge and passion for risk modelling.
✨Showcase Your Technical Skills
Brush up on your R, Python, or SAS skills before the interview. Be prepared to discuss specific projects where you used these tools to build or enhance models. If possible, bring examples or case studies that highlight your technical prowess.
✨Communicate Clearly
Since you'll be translating complex statistical techniques into actionable insights, practice explaining your work in simple terms. Think about how you would present your findings to stakeholders who may not have a technical background. Clear communication is key!
✨Demonstrate Adaptability and Curiosity
Be ready to discuss how you've adapted to different risk environments in the past. Share examples of how your curiosity has led you to explore new modelling techniques or areas of risk. This will show that you're not just technically skilled but also eager to learn and grow.
