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工作内容

Oliver James is looking for a Pricing Data Analyst for different roles, with strong capabilities.

We introduce talented people to great organisations so that both may grow and benefit from each other’s experiences, helping to fulfil their potential. As such, you can come to expect a consistently high level of service and delivery, placing up to C-suite talent in permanent and contract positions, as well as project-based consultancy and temp solutions worldwide from our 12 global locations.
As a Pricing Data Analyst with expertise in actuarial science and a focus on non-life insurance, you will play a pivotal role in shaping our pricing strategies and ensuring our products remain competitive and profitable. You will leverage your analytical skills and industry knowledge to analyze complex data sets, identify pricing trends, and collaborate with cross-functional teams to make data-driven pricing decisions.
Key Responsibilities:
  • Data Analysis: Collect, clean, and analyze large datasets related to non-life insurance products, including but not limited to policyholder demographics, claims data, and market trends.
  • Pricing Model Development: Develop and maintain pricing models using actuarial techniques to determine appropriate pricing structures for various insurance products.
  • Risk Assessment: Assess risk factors and their impact on pricing strategies, working closely with underwriters and actuaries to optimize risk pricing.
  • Competitive Analysis: Monitor and analyze competitor pricing strategies to ensure our products remain competitive while maintaining profitability.
  • Data Visualisation: Create clear and insightful data visualisations and reports to communicate pricing insights to stakeholders.
  • Collaboration: Collaborate with underwriting, product development, and other teams to provide data-driven recommendations for pricing adjustments and product enhancements.
  • Compliance: Ensure all pricing strategies comply with regulatory requirements and industry standards.
Qualifications
  • Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Economics, or a related field. Master’s degree preferred.
  • Demonstrated knowledge of non-life insurance products and pricing principles.
  • Strong proficiency in data analysis using tools such as Python, R, or SAS.
  • Familiarity with actuarial modeling techniques and software.
  • Excellent quantitative and analytical skills.
  • Ability to communicate complex data insights to non-technical stakeholders.
  • Strong attention to detail and problem-solving skills.
  • Knowledge of regulatory compliance in the insurance industry is a plus.
  • Fluent in Dutch/French with professional level in English
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最后期限: 31-12-2025

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