At a Glance
- Tasks: Drive commercial decisions using analytics, automation, and capital modelling.
- Company: Dynamic company serving ~10 million customers with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for rapid career growth.
- Other info: Join a collaborative team and make a meaningful impact on a large scale.
- Why this job: Influence real business decisions and shape strategies with your insights.
- Qualifications: Experience in capital modelling and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for a Senior Capital Analyst / Data Scientist who wants to move beyond regulatory reporting and use analytics, automation, and modelling to drive real commercial and underwriting decisions across a business serving ~10 million customers. You'll sit at the intersection of capital, underwriting, and data science shaping how the capital model is used, building intelligent workflows, and turning complex signals into actionable insight for senior leaders.
Location: We offer a hybrid approach, with home working alongside time in our Windsor or London offices for team collaboration.
What you'll be doing:
- Capital model development & use-case expansion: Enhance and evolve the capital model. Proactively identify new business use cases for capital outputs and embed them across the organisation. Bring stakeholders with you, improving decision quality and model adoption.
- Automation & trusted workflows: Streamline and automate core processes- data ingestion, validation, run logging, results storage. Ensure outputs are reliable, reproducible, and ready for decision-making at pace.
- Underwriting performance & actionable insight: Monitor underwriting performance and emerging trends (profitability, loss ratio drivers, etc.). Drive recommendations that influence pricing and underwriting decisions. Prioritise early trend detection over retrospective explanation.
- Best-in-class dashboards & visualisation: Build and own clear, interactive dashboards and 'what-if' tools. Make capital and underwriting insights easy to explore and hard to misinterpret using tools such as Plotly, Streamlit, or similar.
- Competitor & market intelligence (AI analytics): Develop repeatable, AI-powered monitoring of competitor propositions, service levels, and customer sentiment (where appropriate). Deliver concise 'what changed / so what / now what' updates that inform commercial and underwriting strategy.
Here's who we're looking for:
- Experience in capital modelling (ideally within insurance), with the ability to translate outputs into business decisions.
- Strong understanding of underwriting and portfolio performance, including how to investigate trends and recommend actions.
- Advanced Python capability (pandas, automation mindset) with experience building tools and workflows.
- Strong data visualisation skills, with a focus on clarity, usability, and impact.
- Ability to influence and communicate with senior stakeholders, confidently presenting insights and recommendations.
- A proactive mindset- someone who can spot opportunities, not just problems.
- Bonus experience: SQL (SQLite/Postgres), Experience using LLMs / AI workflows with appropriate controls and evaluation, Exposure to competitor intelligence or market analysis.
This role is ideal for you if you're looking to move beyond a purely technical or regulatory actuarial seat and into a position where your work genuinely influences business decisions. You'll have the opportunity to combine capital modelling with data science, automation, and commercial insight, giving you a far broader skillset than a traditional role. Rather than simply producing outputs, you'll own how those outputs are used- building tools, surfacing trends early, and shaping underwriting and pricing strategy in a visible way. If you enjoy working with data, creating intuitive solutions, and seeing your insights drive real action at scale, this role offers a unique platform to develop quickly while having meaningful impact across a large, customer-focused business.
Senior Capital & Underwriting Analyst in Maidenhead employer: Centrica
Join a forward-thinking company that values innovation and collaboration, offering a hybrid work model that balances home working with time in our Windsor or London offices. As a Senior Capital & Underwriting Analyst, you'll not only enhance your analytical skills but also have the opportunity to influence key business decisions, driving real change in a customer-focused environment. With a strong emphasis on employee growth, we provide a platform for you to develop your expertise in capital modelling and data science while enjoying a supportive and dynamic work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Capital & Underwriting Analyst in Maidenhead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Think about how you can demonstrate your experience with capital modelling and data visualisation during the chat.
✨Tip Number 3
Showcase your projects! If you've built any dashboards or tools, be ready to discuss them. Bring examples that highlight your ability to turn complex data into actionable insights—this is what will set you apart.
✨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 company.
We think you need these skills to ace Senior Capital & Underwriting Analyst in Maidenhead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Capital Analyst. Highlight your experience in capital modelling and data science, and don’t forget to showcase any relevant projects that demonstrate your ability to influence business decisions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills align with what we’re looking for. Be sure to mention your proactive mindset and how you can spot opportunities in data.
Showcase Your Data Skills:Since this role involves a lot of data visualisation and automation, make sure to include examples of your work with Python, SQL, or any tools like Plotly. We want to see how you’ve turned complex data into actionable insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Centrica
✨Know Your Capital Models
Make sure you brush up on your knowledge of capital modelling, especially within the insurance sector. Be ready to discuss how you've used these models in past roles and how they can influence business decisions. This will show that you understand the core of what the role entails.
✨Showcase Your Data Skills
Prepare to demonstrate your advanced Python capabilities and any experience with SQL. Bring examples of tools or workflows you've built that showcase your automation mindset. This is your chance to impress them with your technical skills and how they can be applied to streamline processes.
✨Visualisation is Key
Since the role involves building dashboards and visualisations, think about how you can present complex data clearly. Prepare a few examples of dashboards you've created in the past, focusing on clarity and usability. Being able to communicate insights effectively will set you apart.
✨Engage with Stakeholders
Be ready to discuss how you've influenced senior stakeholders in previous roles. Think of specific instances where your recommendations led to actionable insights. This will highlight your ability to communicate effectively and drive decision-making within a team.
