Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Kotak Mahindra Bank is seeking a Product Manager to build data-driven products that support underwriting and credit decision making across the lending lifecycle. You will work with underwriting, risk, and analytics teams to deliver scalable solutions that improve decision quality and speed.
The role focuses on tools that consolidate external data, monitor portfolio health, and streamline credit workflows within commercial banking. A strong sense of financial decision making is essential.
Lending decisions in commercial banking involve a complex combination of credit evaluation, data analysis and operational judgment.
Many of these processes still rely on manual analysis and fragmented systems.
Kotak’s Commercial Banking division is investing in building data-driven credit journey products that help underwriters make faster, better-informed decisions.
We are looking for a Product Manager to build products that support underwriting and credit decision making across the lending lifecycle.
These products will help credit teams:
This role focuses on building products that improve how lending decisions are made.
Examples of product areas include:
Products that provide risk insights and structured data for credit teams.
Platforms that incorporate bureau, financial and alternative data sources.
Tools that monitor portfolio health and highlight emerging risks.
Products that structure how underwriting decisions move through operational processes.
Own the roadmap for credit decision support systems.
Collaborate closely with underwriting and risk teams to understand decision frameworks.
Work with analytics and engineering teams to deliver scalable solutions.
Design products that reduce manual analysis and improve consistency.
This role is well suited for product managers interested in building financial decision systems.
You will likely enjoy this role if you:
This role provides a rare opportunity to shape how credit decisions evolve from manual processes to intelligence-driven systems within a large lending business.