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Lead Technical Pricing Actuary - Home Broker

Star Actuarial Futures

Leeds

On-site

GBP 100,000 - 125,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a technically-savvy, part-qualified non-life actuary to join their Home Broker division. This role offers a unique opportunity to influence pricing strategies through advanced statistical modelling and machine learning techniques. You will be responsible for planning and executing risk model updates, enhancing data processes, and deploying innovative data solutions. If you have a solid understanding of GLMs and GBMs, and are eager to take the next step in your actuarial career, this is the perfect opportunity to make a significant impact in a dynamic environment.

Qualifications

  • Part-qualified actuary with strong skills in statistical modelling and machine learning.
  • Experience with risk model updates and data enhancement processes.

Responsibilities

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

Skills

Statistical Modelling
Machine Learning
Risk Modelling
Data Analysis
GLMs
GBMs
Emblem

Education

Part-Qualified Actuary

Tools

Statistical Software
Data Solutions Tools

Job description

Are you a 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 the planning and carrying out of 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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