Lead Earnix developer

Key Responsibilities

• Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
• Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
• Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
• Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
• Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
• Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
• Conduct A/B testing and impact analysis for pricing changes and product enhancements.
• Automate recurring analytical and reporting processes where possible.
• Translate business requirements into analytical solutions and technical specifications.
• Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
• Support regulatory and audit requests related to pricing models and data usage.

Required Qualifications

• Bachelor's degree in: Data Science, Statistics, Mathematics, Economics, Computer Science, Actuarial Science, Engineering, or a related quantitative field.
• 3+ years of experience in: Pricing analytics, Predictive modeling, Data science, Insurance/financial services analytics (preferred).
• Strong knowledge of: Statistical analysis, Predictive modeling, Machine learning concepts, Data visualization.
• Proficiency in: SQL, Python or R, Excel, Tableau / Power BI.
• Experience with: Regression models, Classification models, Forecasting techniques, Data mining and segmentation.