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