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- Tasks: Develop and refine statistical risk models for innovative pricing solutions.
- Company: Leading Personal Lines Insurer with a focus on data-driven strategies.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong emphasis on communication and teamwork.
- Why this job: Drive strategic change and make an impact in the insurance industry using data science.
- Qualifications: Proficiency in Python or R and expertise in statistical analysis software.
The predicted salary is between 60000 - 80000 £ per year.
I am working with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager, you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth.
Key Responsibilities:
- Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions.
- Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges.
- Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders.
Requirements:
- Proficiency in data science techniques using Python or R.
- Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable.
- Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale.
- Ability to oversee pricing model development and maintenance while evaluating the profitability and market positioning of new and existing product propositions.
- Proven experience working collaboratively with teams and senior stakeholders, with excellent communication skills to present complex concepts clearly.
Pricing Manager (Data Scientist) - Remote in City of London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Manager (Data Scientist) - Remote in City of London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend virtual meetups. We can’t stress enough how important it is to connect with people who are already in the game; they might just know about opportunities that aren’t advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving pricing models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python or R, and how you've used statistical analysis to drive business decisions. We want you to shine when it comes to demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the world of pricing and data science.
We think you need these skills to ace Pricing Manager (Data Scientist) - Remote in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Manager role. Highlight your experience with data science techniques, especially in Python or R, and any relevant actuarial models you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've developed or refined pricing models. This is your chance to shine! We love seeing real examples of how you've tackled challenges and delivered innovative solutions in your previous roles.
Communicate Clearly: When writing your cover letter, make sure to communicate your ideas clearly and concisely. We appreciate candidates who can present complex concepts in an understandable way, just like you would to key stakeholders in a business setting.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Numbers
Brush up on your statistical analysis skills and be ready to discuss specific examples of how you've used data science techniques in Python or R. Prepare to explain complex actuarial models you've developed and how they impacted pricing strategies.
✨Speak Their Language
Familiarise yourself with the terminology and tools mentioned in the job description, like Willis Towers Watson (Emblem, Radar). Being able to confidently discuss these tools will show that you’re not just a fit for the role but also genuinely interested in their processes.
✨Showcase Collaboration Skills
Prepare examples of how you've worked with diverse teams and stakeholders in the past. Highlight your communication skills by discussing how you’ve presented complex concepts clearly to non-technical audiences, as this is crucial for the role.
✨Think Strategically
Be ready to discuss how you can drive strategic change within the company. Think about innovative pricing solutions you've implemented before and how you can leverage data science techniques to support profitable business growth in this new role.