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Lead Technical Pricing Actuary - Home Broker

Actuarial Futures

United Kingdom

Hybrid

GBP 100,000 - 125,000

Full time

26 days ago

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Job summary

An established industry player is seeking a Lead Technical Pricing Actuary to join their Home Broker division. This role offers a unique opportunity to develop and enhance pricing models that directly impact market strategies. The successful candidate will leverage their expertise in statistical and machine learning techniques to execute risk model updates and improve data processes. This position not only promises career growth but also the chance to work with innovative data solutions in a flexible, hybrid working environment. If you're ready to elevate your career in a dynamic setting, this opportunity is for you.

Qualifications

  • Qualified or part-qualified actuary with expertise in non-life insurance.
  • Experience in statistical modelling (GLMs) and machine learning (GBMs).

Responsibilities

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

Skills

Statistical Modelling
Machine Learning
Data Analysis
Risk Modelling

Education

Qualified Actuary
Part-qualified Actuary

Tools

Emblem

Job description

Lead Technical Pricing Actuary - Home Broker
  • Flex / hybrid twice a month in the office with occasional travel to London
  • Permanent
  • Non-life

Are you a qualified (or part-qualified), technically-astute non-life actuary, looking for your next career development opportunity within the Home Broker 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.

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