Actuarial Data Scientist

📋 Description

• Build, validate, and improve PD, credit scoring, affordability, delinquency models.
• Analyze repayment behavior, delinquency trends, and vintage patterns.
• Enhance credit engine by identifying predictive variables and rules.
• Develop early-warning indicators for delays or defaults.
• Monitor portfolio performance by cohorts, segments, channels, and products.
• Build dashboards to track approval quality, disbursement, and defaults.

🎯 Requirements

• Bachelor's in Actuarial Science/Statistics/Math/DS/CS/Engineering/Finance; Master's preferred.
• 3-6 years in actuarial analytics, credit risk, lending analytics, or fintech.
• Strong PD, credit scoring, portfolio risk, delinquency, loss forecasting, and vintage analysis.
• Strong Python and SQL skills.
• Experience with statistical modelling and ML (regression, classification, trees, GBM) with validation and monitoring.
• Ability to translate analytics into clear business recommendations; strong communication.

🎁 Benefits

• Inclusive culture with remote, in-office, and hybrid options.
• Competitive compensation, including potential shares/equity.
• Regular training and annual learning stipend for growth.
• Talented team of 30+ nationalities across 7 countries.
• Autonomy, mentoring, and challenging goals.
• You'll be given responsibility and trust to own decisions.