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Senior Technical Pricing Analyst - Motor Lines

Actuarial Futures

United Kingdom

Hybrid

GBP 40,000 - 70,000

Full time

9 days ago

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Job summary

An established industry player in insurance seeks a Senior Technical Pricing Analyst to enhance pricing strategies within the Motor division. This role offers the chance to apply your statistical and machine learning skills in a dynamic environment. You will be instrumental in developing models that influence market pricing and enhance data processes. If you are a part-qualified actuary with a passion for innovation and data solutions, this is a fantastic opportunity to advance your career while working in a flexible hybrid model. Join a team that values your expertise and contributes to impactful pricing decisions.

Qualifications

  • Part-qualified actuary with strong statistical and machine learning skills.
  • Experience with GLMs and GBMs is preferred.

Responsibilities

  • Plan and deliver models and analysis for pricing strategies.
  • Build and test statistical models and machine learning algorithms.

Skills

Statistical Modelling
Machine Learning Techniques
Data Analysis
Risk Modelling

Education

Part-qualified Actuary

Tools

Emblem

Job description

Senior Technical Pricing Analyst - Motor Lines

Reference: Star9056 Posted: 29/11/2024

  • £ depending on experience
  • Flex / hybrid twice a month in the office with occasional travel to London
  • Permanent
  • Non-life

Are you a part-qualified, technically-astute non-life actuary, looking for your next career development opportunity within the Motor division of a major insurer?

This is an exceptional opportunity to play a key role in planning and delivering models and analysis that influence and drive the prices our client takes to market.

Assisting with executing risk model updates, you will continually strive to enhance and improve data and processes.

You will also build and test statistical models and machine learning algorithms, supporting the business in the deployment of its data solutions.

With a good understanding of traditional statistical modelling methods, the successful candidate will also possess experience of more innovative machine learning techniques.

Ideally, successful candidates will have solid knowledge of both statistical modelling methods (GLMs) as well as knowledge of relevant machine learning techniques (GBMs); although experience in one of these would be sufficient.

Emblem experience also required.

So take the next step on your career ladder. Apply now!

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