Product Manager

Cushman & Wakefield

3 - 6 years

4 - 8 Lacs

bengaluru

Posted:6 hours ago| Platform:

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Skills Required

product management ai/ml stakeholder management credit decisioning customer engagement fraud analytics customer data management

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Lead design and implementation of end-to-end Loan Origination Systems across retail and MSME lending.
Drive Rule Engine configurations to enable flexible, automated decision-making.
Define, configure, and optimize Workflow Management to deliver seamless customer journeys.
Build and maintain robust Master Management frameworks for customer, product, and transaction data.
Deliver Mobility-first solutions for loan origination including agent, DSA, and customer applications.
Manage Global Customer Data Models ensuring compliance, scalability, and unified 360 view across geographies.
Design solutions spanning multiple product lines: Home Loan (HL), Personal Loan (PL), Loan Against Property (LAP), Gold Loan, Vehicle Loan, and others.
Collaborate with FinTech ecosystem partners and India Stack (e.g., Aadhaar, PAN, DigiLocker, UPI, Account Aggregator, eSign, CKYC).
Engage with multiple stakeholders across Sales, Credit, Risk, and Operations, ensuring requirements are translated into functional LOS configurations.

Apply AI/ML techniques for:

Risk scoring using alternative data (telecom, utility, social, cashflows).
Predictive credit behavior modeling.
Fraud detection and anomaly spotting.
Conversational AI for faster onboarding and customer service.
Mentor team members and actively contribute toknowledge-sharing within the product and solution delivery team

Requirements

Strong background in Loan Origination Systems design and implementation.
Expertise in Rule Engines, Configurations, Workflow Management, Master Data Management, and Mobility Solutions.
Deep understanding of lending product lifecycle across HL, PL, LAP, Gold, Vehicle, MSME, and Business Loans.
Hands-on exposure to CPV/Field Investigation modules and external data integrations.
Proven experience with FinTech integrations and Digital India Stack APIs.
Knowledge of Global Customer Data Management and regulatory-compliant architectures.
Practical application of AI/ML in credit decisioning, fraud analytics, and customer engagement.
Strong stakeholder management and cross-functional collaboration skills.

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