Job Requirements
About Godrej Industries Group (GIG)
At the Godrej Industries Group, we are privileged to serve over 1.1 billion consumers globally through our businesses with market leadership positions in the consumer products, real estate, agriculture, financial services and chemicals industries.
www.godrejindustries.com

About Godrej Capital (GCL)
Godrej Capital is trusted lending partner advocating reliable, transparent, and fair lending practices backed by the legacy and trust of the Godrej Group spanning over 129 years.
www.godrejcapital.com

About the role:
The incumbent will be responsible for developing data‑driven, analytically rigorous solutions that enable informed and timely decision-making across the credit lifecycle at Godrej Capital. The role involves building machine learning models, improving analytical processes, driving automation, and contributing to advanced risk intelligence initiatives. A solid passion for modelling, experimentation, and problem-solving is essential.

Key Responsibilities
1. 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.
2. 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.
3. 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.
4. Stakeholder Management
Present analytical fin

📌 Assistant Manager (Mumbai)
🏢 Godrej Group
📍 Mumbai