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- Tasks: Unlock underwriting potential and develop analytical models using advanced AI.
- Company: Specialist risk manager with a focus on innovation and teamwork.
- Benefits: Competitive salary, bonus, flexible work options, and great career growth.
- Why this job: Make a real impact in risk selection and drive competitive advantage.
- Qualifications: Strong Python and SQL skills; experience in insurance or risk analytics preferred.
- Other info: Dynamic team environment with opportunities for autonomy and collaboration.
The predicted salary is between 60000 - 84000 £ per year.
Newly created position within a specialist risk manager. We’re looking for a Data Scientist who can help unlock underwriting potential and drive competitive advantage in risk selection.
Role will involve building exposure datasets, developing analytical models, and integrating advanced AI/LLMs to support decision-making across the business. We want someone who is a go-getter, who can work with autonomy and who’s driven to find value within data.
Tech wise we’d expect you to have a strong grasp of Python and SQL. From an industry perspective, ideally Insurance/Reinsurance, or knowledge of Cat Modelling, risk analytics or geospatial analytics.
Fundamentally though you have to be a team player, have the ability to communicate effectively across the business and be easy to work with.
Base is £70K - £80K + Bonus (15%) + Bens with a tonne of potential to build upon this in the medium to long-term. Mainly based in office with flex to work from home on a Friday. Location is EC4.
Data Scientist – Risk Analytics in City of London employer: Highbury Consulting
Contact Detail:
Highbury Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Risk Analytics in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and risk analytics space. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's building exposure datasets or developing analytical models, having tangible examples of your work can really set you apart. We love seeing what you can do!
✨Tip Number 3
Prepare for those interviews! Research the company and understand their approach to risk selection. Be ready to discuss how you can integrate advanced AI/LLMs into their decision-making processes. We want to see your passion and knowledge shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for go-getters who are driven to find value within data. Don’t miss out on this opportunity to join our team!
We think you need these skills to ace Data Scientist – Risk Analytics in City of London
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in risk analytics or related fields.
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our job description. Mention specific projects or experiences that align with building exposure datasets and developing analytical models.
Communicate Clearly: Since we value effective communication, ensure your application is clear and concise. Use straightforward language to explain your past experiences and how they relate to the role. We want to see that you can communicate complex ideas simply.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Highbury Consulting
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to risk analytics. Brush up on your experience with exposure datasets and analytical models, as you’ll want to demonstrate how you can unlock underwriting potential using data.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and SQL. Have examples ready that highlight how you've used these tools in past projects, especially in the context of insurance or risk analytics.
✨Communicate Like a Pro
Since this role requires effective communication across the business, practice explaining complex data concepts in simple terms. Think about how you can convey your ideas clearly and engage with different stakeholders.
✨Demonstrate Your Team Spirit
This position values teamwork, so be ready to share examples of how you’ve collaborated with others in previous roles. Highlight your ability to work autonomously while still being a supportive team player.
