Posted:22 hours ago|
Platform:
On-site
Full Time
Department: Data Analytics
Location: Mumbai
We are looking for a Lead Business Analyst to drive data-led decisioning across customer funnels, credit risk, profitability, and product performance. The role combines business acumen with strong analytical depth helping shape product and risk strategy in a fast-scaling FinTech lending environment.
• Own the end-to-end loan funnel from application to first repayment.
• Identify leakage points, analyse conversion drivers, and suggest optimizations across stages (lead →
KYC → underwriting → disbursal → 1st EMI).
• Partner with Product and Growth teams to run A/B experiments improving user journey and
approval rates.
• Deep dive into risk funnel metrics (approval %, DPD0, bounce %, resolution %, roll rates, NPA).
• Build and maintain early warning dashboards for portfolio health.
• Design and evaluate risk segmentation frameworks — by bureau score, customer profile, and behavioural segments.
• Work with credit policy teams to quantify impact of rule or scorecard changes.
• Track product and cohort-level profitability (NIM, CAC, LGD, ROE).
• Evaluate credit and pricing changes using simulation and scenario modelling.
• Partner with finance to build forecasting models for portfolio growth, losses, and contribution
margins.
• Partner with Product Managers to track feature performance (usage, adoption, retention).
• Translate funnel and risk insights into product roadmap inputs (e.g., automation, repeat loans, collection interventions).
• Build narratives around data for leadership and board-level reviews.
• Lead and mentor a team of analysts on funnel, risk, and product tracks.
• Collaborate closely with cross-functional teams – Risk, Product, Growth, Collections, and Finance.
• Present actionable insights to senior stakeholders for strategic decisions.
• 5–8 years of experience in FinTech, NBFC, or digital lending in roles such as Business Analyst / Risk Analyst / Product Analyst.
• Strong proficiency in SQL, Excel, and data visualization tools (Tableau).
• Hands-on experience in risk and funnel analytics, and profitability modelling.
• Solid understanding of credit lifecycle – from application to recovery.
• Exposure to A/B testing, segmentation, cohort analysis, and data storytelling.
• Experience with Python / R preferred.
• Excellent communication and stakeholder management skills.
• Experience with behavioural or scorecard models (acquisition or early delinquency).
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