At a Glance
- Tasks: Design and develop retail pricing models using advanced statistical and machine learning techniques.
- Company: Join an award-winning firm known for its ethical and sustainable practices.
- Benefits: Fully remote work with flexible hours and a supportive team environment.
- Other info: Exciting opportunity for career growth in a dynamic and innovative setting.
- Why this job: Make a real impact on customer-centric pricing strategies in a heritage firm.
- Qualifications: Understanding of retail pricing models and experience with Python; machine learning skills are a plus.
The predicted salary is between 50000 - 70000 £ per year.
Are you a qualified (or nearly-qualified) life actuary with a passion for pricing? Would you relish the opportunity to join a heritage firm which prides itself on its ethical and sustainable ethos?
Star Actuarial is currently representing the ideal role for you, designing, developing and deploying retail pricing models across all Protection products, using predictive and prescriptive models, advanced statistical and machine learning approaches.
Supporting the wider pricing strategy and roadmap using optimisation techniques, you will:
- Help to develop overall strategy, drawing on your tactical mindset to tackle challenges and fulfil commercial opportunities.
- Drive customer-centric outcomes through tailored, optimised pricing models.
- Maintain our client's reputation for customer trust and satisfaction.
What will I need?
- An understanding of retail pricing models (including pricing elasticity of demand and the importance of and approaches for price testing).
- Strong understanding and experience of Python syntax and predictive modelling use cases.
- Machine learning capabilities would be nice to have, but not essential.
A fantastic role offering a lot of flexibility. So what are you waiting for? Apply now!
Fully remote Protection Pricing FTC within an award-winning, forward-looking firm in Ashton-under-Lyne employer: Star Actuarial Futures
Join an award-winning firm that champions ethical and sustainable practices while offering a fully remote role in Protection Pricing. With a strong focus on employee growth, you will have the opportunity to develop innovative pricing models in a supportive work culture that values customer-centric outcomes and fosters collaboration. Enjoy the flexibility of remote work while contributing to a company that prioritises trust and satisfaction in its services.
StudySmarter Expert Advice🤫
We think this is how you could land Fully remote Protection Pricing FTC within an award-winning, forward-looking firm in Ashton-under-Lyne
✨Tip Number 1
Network like a pro! Reach out to fellow actuaries or industry professionals on LinkedIn. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your pricing models and any projects you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and predictive modelling knowledge. Be ready to discuss how you've used these skills in real-world scenarios, especially in relation to retail pricing.
✨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 Fully remote Protection Pricing FTC within an award-winning, forward-looking firm in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your experience with retail pricing models and any relevant Python projects to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about pricing and how your background makes you a great fit for our ethical and sustainable ethos. Be genuine and let your personality shine through!
Showcase Your Technical Skills:Don’t forget to mention your understanding of predictive modelling and any machine learning experience, even if it’s just a nice-to-have. We love seeing candidates who are eager to learn and grow!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Star Actuarial Futures
✨Know Your Numbers
Brush up on your understanding of retail pricing models and be ready to discuss how you've applied them in past roles. Be prepared to explain concepts like pricing elasticity of demand and price testing, as these will likely come up during the interview.
✨Showcase Your Technical Skills
Since Python and predictive modelling are key for this role, make sure you can talk confidently about your experience with these tools. Bring examples of projects where you've used Python syntax or machine learning techniques to solve real-world problems.
✨Think Customer-Centric
This firm values customer trust and satisfaction, so be ready to discuss how your pricing strategies have led to positive customer outcomes. Share specific examples of how you've tailored pricing models to meet customer needs and drive satisfaction.
✨Prepare for Scenario Questions
Expect to tackle some scenario-based questions that assess your tactical mindset. Think about challenges you've faced in pricing strategy and how you approached them. This will show your problem-solving skills and ability to fulfil commercial opportunities.
