
Portfolio Manager
2 weeks ago
Credit Card Portfolio Manager – Strategy & Analytics
FPL is growing rapidly and is strengthening its Portfolio Management & Analytics team to fuel the next phase of its credit card business. This role is critical in shaping the credit card portfolio strategy across the entire customer lifecycle — from activation to spend growth, retention, and balance build — while ensuring profitability and risk balance.
Key Responsibilities
- Full Lifecycle Ownership: Drive key credit card portfolio activities including:
- New customer activation
- Credit line management
- Risk-based pricing strategies
- Spend stimulation and usage uplift
- Balance build and revolver growth
- Cross-sell and retention programs
- KPI Ownership: Own and deliver on key metrics including:
- Activation rate
- Monthly spend per active card
- Revolver rate
- Cost per acquired account
- Net credit loss
- EMI Book
- Strategic Analysis & Opportunity Identification: Perform deep-dive analysis to uncover trends, risks, and opportunities across segments and lifecycle stages.
- Experimentation & Personalization: Design and evaluate A/B tests to drive credit line changes, pricing offers, personalized nudges, and behavioral interventions using behavioral economics and neuroscience principles.
- Advanced Analytics & Recommender Systems: Build recommender systems to identify hidden spend potential and customer affinity across categories and merchants.
- ML/AI Solutioning: Leverage machine learning and deep learning to design models for customer segmentation, risk prediction, and spend propensity to power differentiated strategies.
- Stakeholder Collaboration: Partner with Product, Risk, Technology, and Marketing teams to translate analytics into high-impact, customer-facing programs.
Qualifications
Experience
- 8+ years of experience in consumer lending, payments, or credit cards
- Proven experience in credit card portfolio analytics, modeling, or lifecycle strategy
- Exposure to designing and implementing experiments (A/B, DoE)
Technical Skills
- Strong hands-on expertise in SQL and Python
- Exposure to ML/AI modeling and deployment
- App Analytics is a plus
Educational Background
- Degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
Preferred Attributes
- Strong commercial acumen with ability to balance growth and profitability trade-offs
- Data-driven mindset with proven ability to translate insights into business action
- Excellent stakeholder communication and storytelling skills
- Detail-oriented with strong ownership of output quality
- Team-first mindset with collaborative and flexible working style
- Intellectual curiosity and drive for innovation
Why Join Us?
This is a high-impact, visible role for someone who thrives at the intersection of data, strategy, and business growth. You'll have the opportunity to build cutting-edge credit strategies, work with rich customer data, and directly influence the performance of a growing credit card portfolio.
Preferred Industry Background
- Fintech
- Credit card startups
- Consumer NBFCs
- Digital-first banking
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