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For Companies At a Glance
- Tasks: Analyse portfolio performance and provide data-driven insights for 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: Exciting career development opportunities in 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: The Actuary
Contact Detail:
The Actuary 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 industry, especially those working in pricing or analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨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 you shine with real examples!
✨Tip Number 3
Showcase your analytical prowess! When discussing your experience, focus on how your insights have driven decisions or improved outcomes. We love seeing actionable results from your work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who fit our culture.
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 specific experiences that relate to portfolio performance and forecasting.
Showcase Your Data Skills: Since this role involves a lot of data analysis, make sure to showcase your analytical skills in your application. Mention any relevant projects or experiences where you’ve used data to drive decisions or improve outcomes. We love data-driven insights!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll get to see more about our company culture and values while you’re at it!
How to prepare for a job interview at The Actuary
✨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
Prepare to talk about your experience with tools like Python, SQL, and Power BI. Have specific examples ready where you've used these tools to analyse data and make recommendations. This will demonstrate your technical prowess and how it can benefit the company.
✨Understand the Business
Research the company’s portfolio and recent performance insights. Knowing their products and channels will help you tailor your answers and show that you're genuinely interested in contributing to their commercial decision-making.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. The ability to communicate findings effectively is crucial, especially when working with cross-functional teams like Finance and Claims. Use examples from your past experiences to illustrate this skill.
