Location Name:
Pune Corporate Office - Weikfield

Job Purpose
To design, build, and operationalize a scalable Real-Time Approval and Decisioning ecosystem powered by advanced analytics and machine learning, enabling organizational agility at scale. This role is responsible for developing a standardized, product-specific approval engine that ensures ultra-quick, data-driven customer onboarding and acquisition. By leveraging real-time data pipelines, predictive models, and automation frameworks, the role aims to eliminate friction across the customer journey, optimize funnel performance, and enable rapid business scaling aligned with LRS financial growth objectives.

Duties And Responsibilities
Data Analytical Solution Development
- As a strategic interface between Business/COEs, Data Science, and Technology teams to translate business objectives into scalable real-time approval, analytics, and ML-driven decisioning solutions.
- Evaluate business requirements and user stories for assigned streams, perform gap analysis, and co-create solution architecture, approach documents,



and data flow designs in collaboration with engineering teams.
- Break down complex business problems into structured analytical requirements, feature definitions, model inputs, and measurable success metrics.
- Enhance solution by incorporating customer experience, data-driven decisioning logic, standardization principles, and horizontal scalability considerations.
- Review technical and data solutioning documents to identify gaps related to model integration, real-time inference performance, data latency, and business logic alignment.
- Ensure complete functional and analytical coverage across upstream and downstream system integrations supporting the Real-Time Approval Engine.
- Define data ecosystem and feature store requirements, including real-time ingestion, transformation, and serving layers required for approval workflows and ML pipelines.
- Proactively identify product enhancement opportu

📌 Unit Manager (Pune Division)
🏢 Bajaj FinServ
📍 Pune Division