For Talent/Open roles
AVP, Collections strategy
Financial Services
Mumbai
Operations
About the Company
- Our client is a fast-scaling, tech-led NBFC platform backed by a large global financial services group, building a diversified lending franchise in India. Since inception (~5 years), the firm has rapidly expanded its presence across consumer, SME, and embedded finance segments, with a strong focus on data science-led decisioning and digital-first collections infrastructure.
- With a high-growth trajectory and significant capital backing, the organization is investing heavily in advanced analytics, AI/ML, and risk intelligence capabilities to build a best-in-class collections ecosystem.
Roles and Responsibilities
- This is a high-impact, strategy-first role focused on building and optimizing end-to-end collections strategy across the lifecycle — from pre-delinquency to recovery.
- The role requires a data-driven problem solver with deep expertise in portfolio analytics, risk segmentation, and AI/ML-led strategy design, who can drive measurable improvements in resolution rates, roll-back efficiency, and cost of collections.
- Key Responsibilities:
- End-to-End Collections Strategy
- Design and optimize lifecycle strategies across pre-due, early bucket, late bucket, and recovery stages
- Develop stage-wise treatment frameworks (digital, tele-calling, field) to improve cure rates
- Drive reduction in roll-forward rates and overall delinquency levels
- Portfolio Analytics & Risk Segmentation
- Analyze portfolio behavior to identify delinquency drivers and risk trends
- Build and monitor collection scorecards and segmentation frameworks
- Enable differentiated strategies across customer cohorts and risk bands
- AI/ML-Led Strategy Development
- Build and deploy models for:
- Delinquency prediction
- Roll-rate forecasting
- Recovery propensity
- Contactability optimization
- Partner with data and tech teams to ensure scalable model deployment
- Continuously monitor model performance, stability, and recalibration
- Strategy Performance & Optimization
- Define and track collection KPIs, dashboards, and performance metrics
- Implement champion–challenger frameworks for ongoing strategy improvement
- Align agent productivity and performance scorecards with business outcomes
- Advanced Data Analytics
- Perform cohort, vintage, and roll-rate analysis to uncover actionable insights
- Work with large structured/unstructured datasets to refine strategies
- Translate historical trends into forward-looking decision frameworks
- Cross-Functional Collaboration
- Work closely with Risk, Operations, Product, and Technology teams
- Present insights and recommendations to senior leadership
- Drive alignment between analytics insights and execution teams
Skills and qualifications
- Experience
- 4–8 years in collections analytics, credit risk, or risk strategy roles
- Experience in NBFCs, Banks, or FinTech platforms preferred
- Proven track record of driving measurable improvements in collections efficiency
- Technical Skills
- Strong proficiency in:
- SQL
- Python / R
- Advanced Excel
- Power BI / Tableau
- Deep understanding of:
- Portfolio scorecards & segmentation
- Roll-rate & vintage analysis
- AI/ML model development & validation
- Collections lifecycle and recovery strategies
- Core Competencies
- Strong analytical and structured problem-solving skills
- Strategic thinking with a data-to-decision mindset
- Deep understanding of credit risk and collections dynamics
- Ability to translate complex analysis into business outcomes
- Strong stakeholder management and communication skills
- Education
- Bachelor’s / Master’s in Engineering, Data Science, Statistics, Mathematics, Economics, or related fields
- Strong preference for candidates from IITs, IIMs, ISI, or other top-tier institutions
What's On Offer
- Why This Role?
- Opportunity to build next-gen collections strategy using AI/ML at scale
- High visibility role with direct interaction with leadership and decision-makers
- Work with a large and rapidly growing lending portfolio
- Be part of a high-growth, well-capitalized platform with long-term scale ambitions
