Assistant Manager – Model Development

Job Description

Responsibilities

• Model Development & Advanced Analytics
• Develop and implement credit risk models (PD, LGD, EAD), fraud detection algorithms, collection prioritization models, customer propensity models, and other machine learning‑based solutions.
• Apply statistical techniques and ML algorithms to solve complex business problems across underwriting, portfolio monitoring, and collections.
• Insight Generation & Risk Monitoring
• Identify data patterns, uncover trends, and generate actionable insights to strengthen credit decision-making.
• Perform deep-dive analysis on emerging customer behavior and macro trends to support early warning signals and risk mitigation strategies.
• Data Engineering & Process Improvement
• Collaborate with technology teams to enhance data pipelines, improve data quality, and enable scalable model deployment.
• Contribute to the design, testing, and implementation of production-grade analytical systems.
• Stakeholder Management
• Present analytical findings, recommendations, and model outcomes to business, risk, and leadership teams in a clear and structured manner.
• Innovation & Alternate Data Exploration
• Explore and evaluate alternate data sources to identify new opportunities for credit risk optimization, segmentation, and underwriting enhancements
  
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