Product Analyst - Team Lead - Risk

About Us:

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

About the Team:

We are the Central Data and AI Product team responsible for creating and managing analytical datasets tailored to business needs. As a product team, we drive the adoption and enhancement of this platform in collaboration with consumer teams across various business verticals (Payments, Lending, Insurance, Recharges, etc.) and functions (growth, risk, data science).

About the Role:

We are looking for a motivated and curious AI & Data Product Analyst to join our team.

This role requires a deep understanding of real time and batch data pipelines and data modelling, including data ingestion, preparation, and integration to support various business cases. The analyst will be the subject matter expert on data availability and structure, guiding stakeholders on how best to leverage existing data assets. The analyst will continuously analyze the data assets and identify opportunities to optimize for cost and processing efficiency.

The role also requires a deep understanding of data architecture for conversational AI systems, The analyst will also analyze user interactions and product performance to generate actionable insights that drive continuous improvement of AI-driven conversational experiences. You will work closely with data scientists, engineers, product managers, and business stakeholders to understand data requirements, design robust data solutions, and ensure the accuracy and availability of data for our analytical tools.

Key Responsibilities:

1. Collaborate with business teams to understand their data, analytical requirements.

2. Work closely with engineering teams to ensure business needs are met through effective feature development.

3. Contribute to the development and optimization of big data architecture and data pipelines for real-time and batch processing.

4. Support the definition and design of data architecture and pipelines required for conversational AI bots, including data ingestion, processing, annotation, and storage.

5. Analyze interaction data to inform the development and refinement of intent taxonomies, entity extraction, and dialogue management based on data-driven insights.

6. Analyze conversational AI interaction data to extract insights on user behavior, intent recognition accuracy, and dialogue effectiveness.

7. Collaborate with AI engineers to integrate AI frameworks like LangChain, LangFlow, or other agentic AI platforms into product workflows.

8. Monitor and evaluate AI bot performance metrics, identify data quality issues, and recommend improvements.

9. Translate business requirements into technical specifications for data architecture and AI product enhancements.

10. Stay updated on emerging conversational AI frameworks and tools, evaluating their applicability to business needs.

Requirements:

• Strong skills in SQL and Python for data analysis, manipulation and agent workflows
• Familiarity or strong interest in agentic AI frameworks (e.g., LangChain, LangGraph) and their applications in product workflows
• Experience working with LLMs, RAG pipelines, or prompt engineering is a plus.
• Experience in working with Vector Databases
• Understanding of data modelling, real time and batch pipelines, AI / Chatbot systems
• Strong time management skills and ability to work effectively under pressure and adapt to changes.
• Familiarity with data visualization tools (e.g., Looker, Superset) is a plus.

Preferred Qualifications:

• 3–5 years of hands-on experience in data analysis, product analytics, or a related role.
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience, with prior experience in data analysis or a related field being advantageous.

Why Join us?

• Bragging rights to be behind the largest fintech lending play in India
• A fun, energetic and a once-in-a-lifetime environment that enables you to achieve your best possible outcome in your career

With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!