Senior Pricing Analyst (Technical)

JR United Kingdom; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a leading personal lines insurer as a Senior Pricing Analyst in their Home insurance team. This largely remote role offers the chance to develop and execute models that shape market pricing. If you have a strong background in statistical modeling and machine learning, along with proficiency in Python and SQL, this position is perfect for you. You will engage with data from sourcing to implementation, ensuring high-quality insights are communicated effectively. Embrace this opportunity to make a significant impact in a dynamic and supportive environment!

Qualifications

• Strong knowledge of statistical modeling techniques, especially GLMs.
• Experience with large datasets and machine learning methods.

Responsibilities

• Contribute to planning and execution of risk model updates.
• Collaborate with teams to understand data needs and modeling outcomes.

Skills

Statistical Modeling Techniques

Generalized Linear Models (GLMs)

Machine Learning Methods

Python

SQL

SAS

Data Analysis

Tools

Willis Towers Watson Software

Radar

Emblem

Job description

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Client:

Arthur Recruitment

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

I am working with a leading personal lines insurer seeking a Senior Pricing Analyst within their Home insurance team.

The successful candidate will be instrumental in developing and executing models and analyses that form the foundation of market pricing. This role requires a strong grasp of statistical modeling methods, along with expertise in advanced machine learning techniques.

Largely remote working with 1/2 days in the London office per month.

Responsibilities:

• Contribute to the planning and execution of risk model updates, continuously improving data quality and processes.
• Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes.
• Engage with data from sourcing through to modeling and implementation in rating.
• Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences.

Requirements:

• Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs)
• Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs)
• Demonstrated experience working with large datasets
• Proficient in Python, SQL, SAS, or similar programming languages
• Experience with Willis Towers Watson software, including Radar and Emblem