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- Tasks: Create innovative pricing models and analyse data to drive business growth.
- Company: Dynamic insurance company focused on strategic change and technology.
- Benefits: Remote work, competitive salary, and opportunities for professional development.
- Why this job: Join a team that leverages cutting-edge data science to shape the future of pricing.
- Qualifications: Experience in actuarial pricing or statistical modelling, and proficiency in Python or R.
- Other info: Collaborative environment with opportunities to influence key business decisions.
The predicted salary is between 36000 - 60000 £ per year.
The Technical Pricing Manager will be responsible for the production of specialist statistical risk models for their insurance products including Private Car, Van, Bike and Household. This exciting role offers the opportunity to explore and use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques to generate profitable business growth.
The Technical Pricing Manager will manage projects, assist in guiding data preparation, performing and reviewing actuarial modelling and interpreting results that drive high impact and intelligent pricing solutions – all of which will help drive competitive positioning.
The ideal candidate must be commercially focused to work in partnership with senior stakeholders to make better informed decisions when it comes to setting pricing rates. As a technical expert in the field, the Technical Pricing Manager will manage and develop pricing analysts to turn data into information that ultimately drives a truly value-based pricing proposition.
Main Responsibilities:- Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing.
- Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems.
- Producing reports, documentation, and presentations to communicate statistical models and results to key stakeholders.
- Identifying opportunities to challenge and improve existing methodologies, deploying new analytical techniques that deliver new insights and tangible operational improvements.
- Experience of Actuarial pricing or statistical modelling, preferably within a regulated, multi-divisional industry.
- Experience of data science techniques in Python or R.
- Specialist knowledge in statistical analysis software – Willis Towers Watson (Emblem, Radar) is highly advantageous.
- 2.1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering, Physics, Computer Science or Actuarial Science.
- Expertise in understanding pricing and underwriting principles ideally within personal or commercial lines on a large business scale.
- Making decisions about the production and maintenance of pricing models and evaluating and identifying the profitability and price position of new and existing product propositions.
- Previous experience of working in partnership with teams and senior stakeholders in order to influence, gain buy-in and share knowledge with particular emphasis on being able to present difficult concepts clearly.
If you are interested please apply with your updated CV.
Technical Pricing Manager employer: The Emerald Group Ltd, Search and Selection
Contact Detail:
The Emerald Group Ltd, Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Pricing Manager
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend virtual meetups. Building connections can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions related to technical pricing and data science. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your actuarial models or statistical analyses. This will give you an edge when discussing your experience with potential employers.
✨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 Technical Pricing Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technical Pricing Manager role. Highlight your experience with actuarial pricing and statistical modelling, and don’t forget to mention any relevant data science skills in Python or R. We want to see how your background aligns with what we’re looking for!
Showcase Your Skills: In your application, be sure to showcase your expertise in statistical analysis software, especially if you have experience with tools like Willis Towers Watson. We love seeing candidates who can demonstrate their technical prowess and how it can benefit our team.
Communicate Clearly: When writing your application, keep it clear and concise. Remember, you’ll need to communicate complex ideas to stakeholders, so show us you can do that right from the start. Use straightforward language and structure your thoughts logically.
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 upload your CV directly. Plus, it helps us keep track of all applications in one place!
How to prepare for a job interview at The Emerald Group Ltd, Search and Selection
✨Know Your Numbers
As a Technical Pricing Manager, you'll be dealing with complex actuarial models. Brush up on your statistical knowledge and be ready to discuss specific examples of how you've used data science techniques in Python or R. This will show your technical expertise and confidence in handling the role.
✨Understand the Business
Familiarise yourself with the insurance products mentioned in the job description, like Private Car and Household insurance. Be prepared to discuss how your pricing strategies can impact profitability and competitive positioning. This shows that you’re not just a number cruncher but also understand the commercial side of things.
✨Communicate Clearly
You’ll need to present complex statistical models to stakeholders. Practice explaining difficult concepts in simple terms. Use examples from your past experiences where you successfully communicated insights to non-technical audiences. This will demonstrate your ability to influence and gain buy-in from senior stakeholders.
✨Show Your Strategic Thinking
Think about how you can challenge existing methodologies and introduce new analytical techniques. Prepare to discuss any innovative approaches you've taken in previous roles that led to operational improvements. This will highlight your proactive mindset and ability to drive strategic change.