At a Glance
- Tasks: Analyse portfolio performance and deliver insights to drive commercial decisions.
- 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 impactful decisions in the insurance sector.
- Qualifications: Experience in insurance pricing, data analysis, and proficiency in Python and SQL.
- Other info: Exciting role with a chance to shape the future of pricing strategies.
The predicted salary is between 36000 - 60000 Β£ per year.
A leading Retail insurer is seeking a Senior Portfolio Pricing Analyst in Manchester to enhance its Pricing function. The successful candidate will deliver performance insights, conduct forecasting, and perform portfolio analysis to support commercial decisions.
Key responsibilities include:
- Analyzing portfolio performance
- Producing forecasts
- Engaging with various teams to recommend data-led actions
The role requires experience in insurance pricing and data analysis with proficiency in tools like Python and SQL. The position offers a hybrid work setup with a few days required in the office.
Portfolio Pricing & Forecasting Lead (Hybrid, Manchester) employer: Arthur Financial
Contact Detail:
Arthur Financial Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Portfolio Pricing & Forecasting Lead (Hybrid, Manchester)
β¨Tip Number 1
Network like a pro! Reach out to people in the insurance and data analysis fields on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
β¨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past roles to drive data-led decisions.
β¨Tip Number 3
Showcase your analytical mindset! Bring examples of how you've conducted portfolio analysis or forecasting in previous jobs. Real-life stories resonate well with interviewers.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Portfolio Pricing & Forecasting Lead (Hybrid, Manchester)
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in insurance pricing and data analysis. We want to see how your skills align with the role, so donβt be shy about showcasing your proficiency in tools like Python and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre the perfect fit for the Portfolio Pricing & Forecasting Lead role. Share specific examples of how you've delivered performance insights or conducted forecasting in the past.
Showcase Your Analytical Skills: Since this role involves a lot of portfolio analysis, make sure to highlight any relevant projects or experiences where youβve successfully analysed data to support commercial decisions. We love seeing data-led actions in action!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates regarding your application status!
How to prepare for a job interview at Arthur Financial
β¨Know Your Numbers
Make sure you brush up on your portfolio performance metrics and forecasting techniques. Be ready to discuss specific examples from your past experience where you've successfully analysed data to drive commercial decisions.
β¨Showcase Your Technical Skills
Since proficiency in Python and SQL is key for this role, prepare to demonstrate your skills. You might be asked to solve a problem or explain how you've used these tools in previous projects, so have some examples ready.
β¨Engage with the Team
This role involves collaboration with various teams, so be prepared to discuss how youβve worked cross-functionally in the past. Highlight your communication skills and how youβve recommended data-led actions that benefited the wider business.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask questions! Inquire about the companyβs approach to pricing strategy or how they measure success in the role. This shows your genuine interest and helps you assess if itβs the right fit for you.