Head Of Data Science & Credit Risk

📋 Description Lead the design, testing, deployment, and ongoing improvement of machine learning models for credit Develop underwriting algorithms using alternative data sources to strengthen risk assessment while Build and scale real-time or near-real-time scoring models across multiple markets and products. Ensure models are interpretable, robust, fair, and reliable, with appropriate monitoring for Establish strong practices for experimentation, model versioning, deployment, monitoring, and Develop and manage credit risk frameworks, policies, approval strategies, risk thresholds, and 🎯 Requirements 10+ years of combined experience across data science, machine learning, and consumer credit risk Proven experience developing and managing credit policies and portfolios at scale across multiple Demonstrated success building, deploying, and monitoring production machine learning models within Strong hands-on experience with experimentation and A/B testing to assess the impact of model and Strong mathematical and statistical foundations, combining classical statistical techniques with Strong proficiency in SQL and exploratory data analysis, alongside practical experience working 🎁 Benefits Competitive compensation: Salary based on experience and location. Equity participation: Opportunity to participate in the company’s equity program. Leadership opportunity: Build and shape a growing data science and credit risk function from the Professional growth: Opportunities to expand your leadership, technical expertise, and strategic Modern technology: Work with a modern machine learning stack and cloud-based data infrastructure. International scope: Lead data science and credit risk initiatives across multiple markets and