Senior Technical Analyst - Home Broker Pricing

Star Actuarial Futures; Leeds; On-site; GBP 60,000 - 80,000; Full time

Job summary

An innovative opportunity awaits a part-qualified actuary eager to advance their career within the Home Broker division of a leading insurer. This role focuses on enhancing pricing strategies through the development and delivery of robust statistical models and cutting-edge machine learning algorithms. Candidates will leverage their expertise in traditional and innovative modelling techniques to drive data solutions that significantly impact business outcomes. Join a forward-thinking team where your analytical skills will play a pivotal role in shaping the future of insurance pricing. Don't miss the chance to elevate your career in a dynamic environment!

Qualifications

• Part-qualified actuary with experience in statistical modelling and machine learning.
• Strong understanding of GLMs and GBMs is essential.

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

Machine Learning Frameworks

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!