Demand modeling: Develop and apply predictive models to estimate the probability of policy conversion.
Market modeling: Develop and apply predictive models to estimate key rates in the insurance market.
Data analysis: Perform detailed statistical analyses and process large volumes of data to extract insights that support pricing decisions.
Support to the Pricing team: Provide data-driven information and recommendations to guide product pricing, adjusting rates and parameters to improve competitiveness and profitability.
Performance monitoring: Track model performance and evaluate the appropriate timing for adjustments or updates.
Rate and elasticity models: Apply price elasticity models and assess consumer sensitivity to changes in insurance premiums.
Report and presentation creation: Prepare detailed reports and presentations on demand modeling results for executive and product teams.
Model implementation: Translate models into implementable formats for deployment in operational tools and convert models into production-ready code.
Variable clustering: Develop groupings of strategic variables using clustering techniques to bring parsimony to models and processes.
Machine Learning techniques: Use advanced machine learning methods to obtain the best estimates for our models.

Degree in Actuarial Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
Experience in the insurance or finance sector.
Experience applying analytical techniques and predictive modeling.
Advanced proficiency in at least one data-science programming language (Python, R, SQL, SAS, etc.) and a commitment to continuous learning.
Proficiency in querying and manipulating databases for model building, validation, and monitoring.
Knowledge of Earnix, Emblem, AWS/SageMaker, or similar tools.
Communication skills to present complex results clearly and persuasively.
Analytical mindset, strong attention to detail, and the ability to work autonomously in a dynamic environment.
Experience collaborating with cross-functional teams and the aptitude to develop strong interpersonal relationships.
Ability to lead projects and maintain a broad view of the entire pricing mechanism.
Support the technical development of junior analysts and data scientists by promoting knowledge sharing, conducting code reviews, and organizing learning sessions.

Demand and Market Modeling Analyst III

Key skills