Lead Risk Pricing Analyst - Personal Lines Motor

eFinancialCareers; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Leading UK insurer is seeking a Lead Risk Pricing Analyst to join the pricing team. The role focuses on managing pricing projects using advanced actuarial and statistical techniques to drive volume and profit, developing and deploying predictive models, and maintaining pricing datasets.

You will lead and coach Pricing Analysts, manage stakeholder relationships, and influence senior management on strategic direction of Risk Pricing. Strong GLM, Logistic Regression, and GBM experience is essential.

Qualifications

• 4-5 years' experience in insurance pricing.
• Strong predictive modelling experience across GLMs, Logistic Regression and GBMs.
• Experience with SAS and Databricks; Emblem and Radar beneficial.

Responsibilities

• Manage and deliver pricing projects using actuarial and statistical techniques.
• Develop, validate and review predictive models; maintain datasets and pricing models.
• Coach, develop and lead Pricing Analysts and Senior Pricing Analysts; engage stakeholders and influence senior management.

Skills

Pricing analytics

Leadership

Stakeholder management

Tools

SAS

Databricks

Emblem

Radar

Job description

I am working with a leading UK insurer looking for a Lead Risk Pricing Analyst to join their pricing team.

The role will focus on managing and delivering pricing projects, using sophisticated actuarial and statistical techniques to develop recommendations that increase volume and profit. You will be responsible for developing, validating and reviewing predictive and machine learning models, maintaining pricing models and datasets, and supporting their deployment into the live environment. You will also play a key role in building pricing capability within the team, including managing, coaching and developing Pricing Analysts and Senior Pricing Analysts. The role will involve significant stakeholder exposure, with the opportunity to influence senior management and contribute to the strategic direction of the Risk Pricing function.

The ideal candidate will have 4-5 years' experience in insurance pricing, strong predictive modelling experience across GLMs, Logistic Regression and GBMs, and proficiency in tools such as SAS and Databricks. Experience with Emblem and Radar would also be beneficial.