Technical Pricing Manager - Non-life
Technical Pricing Manager - Non-life

Technical Pricing Manager - Non-life

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create innovative actuarial models and leverage data science for impactful pricing strategies.
  • Company: Join a global insurer leading the way in non-life insurance.
  • Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technologies.
  • Why this job: Make a real difference in a forward-thinking role that embraces innovation.
  • Qualifications: Experience in actuarial pricing or statistical modelling, with skills in Python or R.
  • Other info: Dynamic environment with bespoke career support and research opportunities.

The predicted salary is between 36000 - 60000 £ per year.

Are you a technically-astute non-life actuary, looking for your next role within a global insurer? Then this is a fantastic opportunity to explore and use new technologies in order to deliver innovative strategic change.

In this exciting and forward-looking position, you will create complex, robust actuarial models and interpret the results to deliver high impact, innovative pricing. You will also deploy the latest data science techniques to help generate profitable business growth.

To be successful in the role, you will possess experience of actuarial pricing or statistical modelling, preferably within a regulated, multi-divisional industry. You will also have experience of data science techniques in Python or R. Specialist knowledge in statistical analysis software (Emblem, Radar) is highly advantageous.

A fantastic career opportunity within a market-leader.

Please contact us to discuss this vacancy or for an informal discussion regarding your career goals. We are very happy to perform bespoke research on your behalf.

Technical Pricing Manager - Non-life employer: The Actuary

As a global insurer, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and professional growth. Our employees benefit from access to cutting-edge technologies and data science techniques, enabling them to make impactful contributions in their roles. With a strong commitment to career development and a supportive environment, we offer a unique opportunity for actuaries to thrive and shape the future of pricing strategies in the non-life sector.
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Contact Detail:

The Actuary Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Technical Pricing Manager - Non-life

✨Tip Number 1

Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant events. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.

✨Tip Number 2

Showcase your skills! Create a portfolio or a personal website where you can display your actuarial models and data science projects. This gives potential employers a tangible sense of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by practising common questions related to actuarial pricing and data science techniques. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of resources and support to help you land that Technical Pricing Manager role. Plus, it shows you’re serious about joining our team!

We think you need these skills to ace Technical Pricing Manager - Non-life

Actuarial Pricing
Statistical Modelling
Data Science Techniques
Python
R
Statistical Analysis Software
Emblem
Radar
Complex Actuarial Models
Data Interpretation
Innovative Pricing
Business Growth Strategies
Regulatory Knowledge
Multi-Divisional Industry Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in actuarial pricing and statistical modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python or R!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how you can contribute to innovative pricing strategies. Let us know what makes you tick!

Showcase Your Technical Skills: Don’t forget to mention any experience you have with statistical analysis software like Emblem or Radar. We’re looking for someone who can hit the ground running, so highlight those technical skills!

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. Let’s get started on this exciting journey together!

How to prepare for a job interview at The Actuary

✨Know Your Numbers

As a Technical Pricing Manager, you'll need to demonstrate your expertise in actuarial pricing and statistical modelling. Brush up on your key metrics and be ready to discuss how you've used data science techniques in Python or R to drive results in previous roles.

✨Showcase Your Tech Savvy

This role involves using new technologies for innovative strategic change. Be prepared to talk about any experience you have with statistical analysis software like Emblem or Radar. Highlight specific projects where you deployed these tools to achieve business growth.

✨Prepare for Scenario Questions

Expect questions that assess your problem-solving skills and ability to interpret complex actuarial models. Practice articulating your thought process when faced with hypothetical scenarios related to pricing strategies or data analysis.

✨Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions that show your interest in the company’s future direction. Inquire about how they plan to integrate new technologies into their pricing strategies, or what challenges they foresee in the industry.

Technical Pricing Manager - Non-life
The Actuary
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  • Technical Pricing Manager - Non-life

    Full-Time
    36000 - 60000 £ / year (est.)
  • T

    The Actuary

    50-100
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