At a Glance
- Tasks: Build and enhance risk models across various sectors like insurance and finance.
- Company: Dynamic company focused on innovative risk modelling solutions.
- Benefits: Competitive salary up to £90,000, strong bonuses, and flexible remote work.
- Other info: Opportunity to work on diverse projects and grow your career in a supportive team.
- Why this job: Make a real impact by creating risk 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 90000 - 90000 £ 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 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.
Senior Data Scientist - Risk Modelling in London employer: Energy Jobline ZR
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 in a dynamic London environment. With a strong emphasis on employee growth, you will benefit from a comprehensive benefits package, flexible working arrangements, and the chance to work alongside senior leaders on strategic projects that drive real business outcomes. This is not just a job; it's a chance to make a meaningful impact in the world of risk modelling while enjoying a supportive and engaging work culture.
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 and risk modelling space. Attend meetups, webinars, or even casual coffee chats to get your name out there. You never know who might have a lead on that perfect Senior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your risk models and projects. Use platforms like GitHub to share your code and insights. This not only demonstrates your technical prowess but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex modelling concepts in simple terms. Remember, you’ll need to bridge the gap between technical details and business applications, so being able to communicate clearly is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate data scientists who can build risk models from scratch. Your next big opportunity could be just a click away, so make sure you get your application in!
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 writing your application, let your enthusiasm for risk modelling shine through! Share specific examples of models you've built from scratch and how they made a difference. We want to see that you’re not just about tweaking existing models but are genuinely excited about creating impactful solutions.
Be Clear and Concise:In your written application, clarity is key. Use straightforward language to explain your experience and skills. Remember, we’re looking for someone who can bridge complex statistical techniques with actionable insights, so make sure your application reflects that ability!
Tailor Your Application:Don’t send a generic application! Tailor your CV and cover letter to highlight your relevant experience in risk modelling across different environments. Mention specific projects or types of risk you’ve worked on, as this will show us you’re the right fit for our team.
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 don’t miss out on any important details. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Energy Jobline ZR
✨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 you overcame them. This shows not only your technical skills but also your problem-solving abilities.
✨Showcase Your Communication Skills
Since you'll be translating complex risk issues into business applications, practice explaining your work in simple terms. Prepare examples of how you've communicated model outcomes to stakeholders in the past, highlighting your ability to bridge the gap between data science and business.
✨Demonstrate Adaptability
This role requires someone who can work across various risk types. Be prepared to discuss how you've adapted your modelling techniques for different environments or projects. Share specific instances where your curiosity led you to explore new areas in risk modelling.
✨Prepare for Technical Questions
Brush up on your R, Python, or SAS skills, as you may face technical questions during the interview. Consider doing a mock interview with a friend or colleague to practice articulating your thought process when tackling modelling problems.
