Data Analytics Lead
Actively Reviewing the ApplicationsSeven N Half
Job Description
Hello Aspirants,
This is one of the exiting opportunity for one of my topmost client in the NBFC space for the position of Data Analytics Lead for Pune Location.
Exp: 8.00-12.00 years
Job Location: Pune (Work from Office)
Key Responsibilities
Problem Discovery & Analytics Roadmap
Conduct a structured discovery of data assets across all business verticals (lending, collections, HR, operations)
Identify and prioritize high-value use cases for data science and analytics across three core domains:
Branch performance - productivity, attrition prediction, workforce planning
Portfolio performance - cohort analysis, yield analytics, repayment behaviour
Early warning & stress models - delinquency prediction, credit stress indicators, collection triggers
Define and own the analytics roadmap in alignment with the key stakeholders
Translate ambiguous business questions into well-framed data science problem statements
Hands-on Modelling & Analysis
Design, develop, validate, and deploy statistical and machine learning models end-to-end
Build credit risk scorecards, early warning models, and portfolio stress frameworks suited to NBFC lending portfolios
Work with partially structured data - perform data wrangling, feature engineering, and pipeline development using Python and SQL
Leverage Snowflake and AWS infrastructure for scalable data processing and model deployment
Ensure models are explainable, interpretable, and regulator-friendly - a critical requirement in the NBFC context
Team Building & Mentorship
Onboard, mentor and guide a team of data scientists and analysts, setting technical standards and reviewing work
Define best practices for modelling, code quality, documentation, and experimentation
Contribute to hiring decisions as the team grows
Foster a culture of curiosity, rigour, and business impact within the analytics function
Stakeholder Collaboration
Partner closely with Risk, Credit, Collections, HR, and Business Vertical heads to understand domain needs
Communicate findings, model outputs, and recommendations clearly to non-technical stakeholders
Create dashboards and reports in Metabase or equivalent BI tools to democratise data insights
Work alongside data and engineering teams to improve data quality and availability
Professional Experience
7 to 12 years of progressive experience in data science and analytics roles
Mandatory: Prior exposure to the NBFC, banking, or broader financial services/fintech domain
Hands-on experience building credit risk models, scorecards, or financial stress indicators
Experience working in environments with partially structured or fragmented data — not just clean, modelling-ready datasets
Prior experience in a player-coach capacity — having independently led projects while guiding junior team members
Required Skills
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