In a context of transformation and growing data and pricing challenges, our partner, a leader in its field, is looking for an expert capable of enhancing its pricing models and optimizing product performance.
The position is part of a data-driven transformation strategy, with strong focus on profitability, commercial competitiveness, and advanced data exploitation.
Main Responsibilities
You will be involved across the entire pricing value chain, including:
Developing and improving technical pricing models across various product lines
Designing and implementing demand models
Contributing to the definition and optimization of commercial pricing
Supporting the evolution of pricing practices and pricing sophistication
Delivering POCs / MVPs around new approaches, tools, or methodologies
Improving the quality and structure of the data being used
Monitoring and analyzing KPIs related to pricing performance
Contributing to the balance between commercial attractiveness and profitability
Experience
Minimum 5 years of experience in risk modeling within the non-life insurance sector
Significant experience in a pricing environment is highly appreciated
Minimum 5 years of experience in demand modeling development
Experience in building and validating technical pricing models
Experience in modeling and validating commercial pricing with a strong business dimension
Degree in Engineering (Business or Civil), Mathematics, Statistics, or Actuarial Science
Technical Skills
Excellent command of Python (advanced level expected)
Good knowledge of SQL is preferred
Knowledge of model industrialization practices (MLOps or equivalent) is considered a plus
Experience with specialized pricing tools (such as Akur8) is an asset
Functional Skills
Strong understanding of non-life insurance market challenges
Ability to integrate business, market, and competitive constraints into models
Awareness of data governance challenges
Analytical and results-oriented mindset
Good command of English required and Fluency in French or Dutchm
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