At a Glance
- Tasks: Create and enhance risk models from scratch, making a real impact on various projects.
- Company: Join a dynamic team in a leading risk modelling environment.
- Benefits: Competitive salary up to £90,000, strong bonuses, and flexible remote work options.
- Other info: Opportunity to work on diverse risk types and advance your career in a collaborative setting.
- Why this job: Be at the forefront of risk modelling and collaborate with senior leaders on strategic projects.
- Qualifications: Strong background in risk modelling, R, Python, or SAS, and excellent communication skills.
The predicted salary is between 90000 - 90000 £ per year.
We’re looking for a 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.)
- 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 base salary, plus a strong bonus and 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!
Senior Risk Modeller employer: ADLIB
Join a forward-thinking company that values innovation and collaboration, where as a Senior Risk Modeller, you will have the opportunity to create impactful risk models from scratch. With a competitive salary of up to £90,000 and a comprehensive benefits package, you will thrive in a flexible work environment that encourages professional growth and development. Our London office fosters a dynamic culture, allowing you to engage with senior leaders and contribute to strategic projects across various risk domains.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Risk Modeller
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your risk models and projects. This is your chance to demonstrate your technical prowess and passion for risk modelling beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex statistical techniques in simple terms. Remember, it’s all about making those insights actionable for stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Risk Modeller
Some tips for your application 🫡
Show Your Passion for Risk Modelling:When you write your application, let your enthusiasm for risk modelling shine through! We want to see that you’re not just experienced but genuinely excited about building models from scratch and tackling various types of risk.
Tailor Your CV to the Role:Make sure your CV highlights your relevant experience in risk modelling. We’re looking for specific examples of how you’ve built and enhanced models, so don’t hold back on showcasing your skills in R, Python, or SAS!
Communicate Clearly:Since this role involves presenting complex ideas to stakeholders, it’s crucial to demonstrate your communication skills in your application. Use clear language and structure your thoughts logically to show us you can bridge the gap between technical details and business insights.
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 this exciting opportunity. Don’t miss out on the chance to join our team!
How to prepare for a job interview at ADLIB
✨Know Your Risk Models Inside Out
Before the interview, make sure you’re well-versed in the different types of risk models you've worked on. Be ready to discuss specific examples where you built models from scratch and how they impacted business decisions. This shows your passion and expertise in risk modelling.
✨Brush Up on Technical Skills
Since the role requires strong skills in R, Python, or SAS, ensure you can demonstrate your proficiency in these languages. Prepare to discuss any complex model updates you've led and be ready to tackle technical questions that may come up during the interview.
✨Communicate Clearly and Confidently
You’ll need to present your findings to stakeholders, so practice explaining complex statistical concepts in simple terms. Think about how you can translate risk issues into actionable insights that non-technical team members can understand.
✨Show Your Adaptability and Curiosity
The company is looking for someone who is adaptable and curious about different risk types. Be prepared to discuss how you've approached various projects outside regulated environments and what you’ve learned from those experiences. This will highlight your versatility and eagerness to grow.
