A leading UK-based Bank is looking for a Senior Pricing Analyst to join their First Party Pricing team. In this role, you will apply your expertise to around 2 million home insurance customers across multiple brands. You will have the opportunity to challenge and improve existing risk pricing processes, identify opportunities for significant improvement, and support the career development of actuarial colleagues. You'll have the opportunity to leverage AI opportunities in data modelling.
What you'll do:
* Challenge and improve existing risk pricing processes
* Drive claims savings & improved risk selection
* Ensure an accurate & fair risk price is charged
* Identify opportunities to significantly improve the way we work across our pricing team
* Line manage and support the career and development of actuarial colleagues
* Work with stakeholders to leverage machine learning and AI opportunities in data modelling
What you bring:
* Experience leading actuarial projects to delivery
* Knowledge of the Home Insurance industry
* Proficiency in advanced data modelling techniques and use of emerging technologies
* Experience using Python or SQL coding languages
What sets this company apart:
Our client is committed to building an organisation that reflects modern society and celebrates diversity in all its forms. They were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. They offer a wide-ranging benefits package which includes generous pension contributions of up to 15%, an annual performance-related bonus, share schemes including free shares, adaptable benefits such as discounted shopping, 28 days’ holiday plus bank holidays, a range of well-being initiatives, and generous parental leave policies.
About the job
Contract Type: FULL_TIME
Specialism: Actuarial
Focus: Non-Life
Workplace Type: Hybrid
Experience Level: Mid Management
Location: Leeds
Industry: Financial Services
Salary: Negotiable
Job Reference: PG8F33-F3C6E65E
Date posted: 17 March 2025
Consultant: Malak Ahmed
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