jobs.pl/Пропозиції роботи/Страхування/Lead Risk Pricing Analyst - Non-Standard Motor (Specialist Car, Van and Bike)
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Lead Risk Pricing Analyst - Non-Standard Motor (Specialist Car, Van and Bike)

Гібридна робота

Дата публікації: 10.08.2026

Lead Risk Pricing Analyst - Non-Standard Motor (Specialist Car, Van and Bike): Are you ready to influence the future growth and profitability of a leading insurance company? As a Lead Risk Pricing Analyst - Non-Standard Motor (Specialist Car, Van and Bike) at Ageas, you will plan and deliver pricing projects to high standards, using sophisticated actuarial and statistical techniques. Your work will directly impact our business’s volume and profit, and you’ll play a crucial role in building pricing capability within our team. The role will involve the management of detailed analysis of data using sophisticated actuarial and statistical techniques to recommend pricing actions which increase volume and profit. In addition, the Lead Risk Pricing Analyst (Specialist Car, Van and Bike) will build pricing capability and core skills within the business, as well as influence the strategic direction of Risk Pricing team and within the wider Ageas UK Group.

Responsibilities

Management, development and coaching of Pricing Analysts and Senior Pricing Analysts; Develop, validate, review and approve predictive and machine learning models; Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring; Development and maintenance of pricing models and support for their deployment; Carry out pricing analyses and prepare recommendations for senior stakeholders; Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment; Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets; Execution, development and project management across all stages of the price control cycle as required; Deputise for the Senior Pricing Manager or Manager where required, including meetings with senior management

Requirements

Degree-educated (or equivalent) in a numerical or analytical discipline, demonstrating strong quantitative capability; 4-5 years experience in insurance pricing, with the ability to apply insight to real-world business challenges; Proficient in key programming languages such as SAS, Databricks, with the ability to manipulate and interpret complex datasets; Hands-on experience with industry-standard tools, including Emblem and Radar; Skilled in predictive modelling techniques, such as Logistic Regression, GLMs, and GBMs, with a track record of building robust analytical solutions; A strong problem-solver, able to use data and analytics to tackle complex business issues and deliver actionable recommendations; Experienced in coaching and developing junior team members, helping to build capability and strengthen pricing expertise within the team; Confident influencing stakeholders at all levels, including senior management and directors, with the ability to shape thinking and support key decisions; Able to communicate advanced statistical and modelling concepts clearly, translating technical analysis into meaningful insights for non-technical audiences

Benefits

Flexible Working - Smart Working @ Ageas; minimum 35 days holiday (inc. bank holidays) and buy/sell days; Dental Insurance; Health Cash Plan; Health Screening; Will Writing; Voluntary Critical Illness; Mental Health First Aiders; Well Being Activities – Mindfulness; 50% off esure and Sheilas' Wheels motor and home insurance; Annual Bonus Schemes; Annual Salary Reviews; Competitive Pension; Employee Savings; Employee Loans; Sports and Social Club events; maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay; paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay; Partner Life Assurance and Critical Illness cover; deals on gadgets including Wearables, Tablets and Laptops; Car Salary Exchange; Cycle Scheme; Vehicle Breakdown Cover; return to work programme after maternity leave
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