Senior Product Manager - Risk Products

About IDfy

HDFC Bank, Zomato, Amazon, PhonePe, Paytm, and HUL

About the Role

Product Manager who loves data, understands risk, is comfortable with the world of LLMs and can translate customer problems into scalable intelligence products.

What all you will be doing (along with % contribution)

1. Product Strategy & Vision (10%)

• Define and evolve product vision around

  risk scoring, anomaly detection, behavioural insights, and transaction-level intelligence

  .
• Identify new market opportunities across lending, insurance, fintech, and other use cases BFSI.
• Drive competitive benchmarking and maintain strong understanding of evolving regulations and fraud patterns.

2. Customer & Market Discovery (10%)

• Deeply understand customer workflows for underwriting, risk ops, fraud investigations, and compliance.
• Conduct discovery calls, PoC cycles, and co-creation sessions with key clients.
• Translate customer pain points into actionable product requirements and clear problem statements.

3. Data-Centric Product Development (30%)

• Work closely with engineering and data science teams to develop: feature pipelines & run sharp prioritization, Risk & fraud signals, decisioning models,
• Identify new data sources and proxy data points to strengthen risk & fraud signals
• Define measurable KPIs like model lift, precision/recall, decisioning latency, hit rate, and data coverage and set target thresholds and governance around it

4. AI Native Platform Delivery (30%)

• Drive design and evolution of AI native risk platforms, thinking and validating various user journeys
• Own the API contracts, SDKs, dashboards, and workflow tooling.
• Prioritise reliability, scale, and performance for high-volume transaction environments.

5. Go-to-Market & Adoption (20%)

• Partner with sales, solutions, and customer success to craft positioning, pricing, and packaging.
• Create collateral—problem statements, value propositions, solution narratives, and ROI models.
• Track adoption metrics and iterate based on usage data and customer feedback.

Who You Are

Must-Have

• 4–6 years in Product Management, preferably in fintech/risk analytics/data platforms or any data rich environment
• Strong understanding of model performance measurement, data pipelines, real-time decisioning
• Ability to break down ambiguous problems using structured thinking and prioritisation frameworks.
• Comfortable with data exploration and running cohort and correlation analysis to discover risk signals
• Comfortable with LLM frameworks, API based usage of LLMs and general familiarity with AI native platform architectures
• Excellent communication—capable of simplifying technical problems for business teams and vice versa and also leading customer conversations on the product independently

Great to Have

• Understanding of risk scoring models, application and behavioural scorecards and buildout methods.
• Experience with fraud detection, credit underwriting, transaction monitoring.
• Background working with DS/DE teams, model development cycles, or decisioning systems.
• Understanding of the Indian lending/fintech regulatory landscape (RBI guidelines, DPDP, KYC norms).
• Experience of working with 0→1→10 product buildout journey

What Success Looks Like

• Clear roadmap that aligns with business priorities and future-proof Risk products' value proposition.
• High-quality delivery of data products with measurable impact (model improvements, signal lift, improved hit rates).
• Increased adoption of products across existing and new customer segments.
• Strong internal alignment across engineering, DS, sales, and customer success.
• Positive feedback from customers on product depth, clarity, and usability.

Why IDfy?

• Work on

  mission-critical risk infrastructure

  for India’s largest digital ecosystems
• Work on category defining, AI-native, fully homegrown product buildout from India for the world
• Build data intelligence at massive scale—millions of transactions, hundreds of signals, real-time decisions.
• Collaborate with some of the sharpest minds across product, DS, engineering, and GTM.
• Shape how identity, fraud, and risk decisioning evolve in India.