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For Companies At a Glance
- Tasks: Analyse portfolio performance and deliver actionable insights for commercial decision-making.
- Company: Leading retail insurer with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Experience in insurance pricing and strong data analysis skills required.
- Other info: Work in Manchester with flexible office days and a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading Retail insurer is hiring a Senior Portfolio Pricing Analyst to strengthen its Pricing function in Manchester. The role focuses on delivering performance insights, forecasting and portfolio analysis to support commercial decision‑making across multiple Retail lines.
What you'll be doing:
- Analysing portfolio performance and key drivers across products/channels
- Producing LR/COR forecasts, profit trajectories and budgeting insights
- Working with Pricing, Finance, Claims and Reserving teams to improve outcomes
- Providing actionable, data‑led recommendations based on internal & external data
What we're looking for:
- Experience in insurance pricing, portfolio, trading or actuarial analytics
- Strong data analysis skills and ability to communicate insights clearly
- Exposure to tools such as Python, SQL, Power BI, EMBLEM, RADAR, Databricks (or similar)
- Understanding of Retail performance metrics (LR, COR, forecasts etc.)
Location & Setup:
Manchester
Hybrid: c.2–3 days per week in office
Senior Pricing Analyst - Manchester employer: Arthur Financial
Contact Detail:
Arthur Financial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst - Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and pricing sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've used tools like Python or SQL in past roles. We want to see how you can bring those skills to the table!
✨Tip Number 3
Showcase your analytical prowess! Bring examples of your portfolio performance analyses to interviews. Highlight how your insights led to actionable recommendations that improved outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Pricing Analyst - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Pricing Analyst role. Highlight your experience in insurance pricing and data analysis, and don’t forget to mention any tools you’ve used like Python or SQL. We want to see how your skills match what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. Be sure to mention your experience with portfolio analysis and how you can contribute to our team.
Showcase Your Data Skills: Since this role involves a lot of data analysis, make sure to showcase your skills clearly. Mention specific projects where you’ve used data to drive insights or improve outcomes. We love seeing real examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Arthur Financial
✨Know Your Numbers
Make sure you brush up on key performance metrics like Loss Ratio (LR) and Combined Operating Ratio (COR). Being able to discuss these confidently will show that you understand the core of the role and can contribute to the team's success.
✨Showcase Your Data Skills
Familiarise yourself with tools like Python, SQL, and Power BI. Prepare examples of how you've used these tools in past roles to analyse data and provide actionable insights. This will demonstrate your technical prowess and relevance to the position.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse a portfolio or forecast outcomes based on given data. Practise structuring your answers clearly, focusing on your thought process and the steps you would take to arrive at a conclusion.
✨Communicate Clearly
Since the role involves working with various teams, practice explaining complex data insights in simple terms. This will help you convey your findings effectively and show that you can collaborate across departments.
