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Principal GI Pricing Analyst - Motor

Actuarial Futures

United Kingdom

On-site

GBP 60,000 - 80,000

4 days ago
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Job summary

An established industry player is seeking a qualified GI actuary to join their dynamic team. This exciting role involves planning and delivering statistical models and analyses that are crucial for pricing strategies. You will engage with data from its source, enhancing models through collaboration with the Data Enrichment team. The ideal candidate will possess a strong command of statistical modelling methods, particularly GLMs and GBMs, along with proficiency in coding languages such as Python and SQL. If you are ready to take on this challenge and make a significant impact, this opportunity is for you.

Qualifications

  • Qualified GI actuary with strong skills in statistical modelling and machine learning.
  • Experience in working with large data sources and coding languages like Python and SQL.

Responsibilities

  • Play a key role in planning and delivering models and analysis for pricing.
  • Assist in risk model updates and build/test statistical models.

Skills

Statistical Modelling

Generalized Linear Models (GLMs)

Machine Learning Techniques

Data Analysis

Python

SQL

SAS

Tools

Radar

Emblem

Job description

Are you a qualified GI actuary with solid knowledge of relevant statistical modelling methods, in particular GLMs? Looking for your next career opportunity? Interested in joining a major insurer?

Then read on!

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

Assisting in planning and carrying out risk model updates, you will get hands-on with data from its source right through to modelling and then implementation in rating.

You will also build and test statistical models and machine learning algorithms, working with the Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models.

With knowledge of relevant machine learning techniques – in particular GBMs – the successful candidate will have proven experience in working with large data sources.

In addition, you will have a good command of Python, SQL, SAS or similar coding languages coupled with experience of software such as Radar or Emblem.

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