Senior Manager-Data Science

About the role

Credit Risk Analytics Team at EXL builds and monitors credit risk scorecards and collections models using advanced statistical and machine learning techniques. The Senior Manager leads end‑to‑end model development, from data extraction and feature engineering in Python and SQL to model validation, backtesting, and regulatory compliance. Based in Gurugram, the role is hybrid with onsite days and remote flexibility. The position supports strategic credit decisioning and account management across the organization.

What you’ll do

• Lead end‑to‑end development of application, behavioral, and collections scorecards
• Extract, clean, and preprocess large credit datasets using SQL
• Build and deploy machine learning models in Python
• Monitor model performance and conduct backtesting
• Collaborate with business and data teams to translate requirements into modeling specifications
• Document modeling processes for governance and audit

What you’ll bring

• Bachelor’s in Engineering or Master’s in Statistics, Mathematics
• 5+ years in credit risk modeling
• Proficiency in Python (pandas, scikit-learn)
• Strong SQL data manipulation
• Experience with credit bureau data
• Knowledge of credit risk metrics (KS, Gini, AUC)
• Model monitoring and recalibration
• Regulatory compliance in BFSI

Skills

Benefits

• Competitive salary
• Health and wellness benefits
• Professional development budget
• Flexible work schedule
• Performance bonuses

Work authorisation

Hybrid