Vaibhav Gupta
@vaibhavgupta10
Strategy & analytics consultant specializing in fintech fraud risk and growth, delivering end-to-end measurable outcomes.
What I'm looking for
I’m a Strategy & Analytics professional with 3+ years of experience driving high-impact initiatives across fintech, fraud risk, and growth. I enjoy owning complex, ambiguous problems end-to-end—identifying opportunities, prioritizing across competing demands, and translating insights into scalable processes.
At EXL (Client: USAA), I led fraud strategy across Card Present segments, prioritizing and launching 30+ initiatives (velocity controls, geo-intelligence, behavioral drivers) that delivered ~$2M/month incremental fraud capture. I also defined and executed a portfolio expansion roadmap—pinpointing merchant hotlisting and card lifecycle controls as high-priority opportunities—generating ~$1M/month additional risk-adjusted impact.
I built operational frameworks that enabled safer growth at peak season, unlocking ~$4M (~23K transactions) in customer spend while keeping fraud losses within threshold. I’ve also optimized 20+ live fraud strategies through iterative testing, improving operational hit rates by 400–600 bps and strengthening decision quality through real-time monitoring and escalation.
Previously at CRED, I owned referral growth end-to-end, using cohort segmentation to reduce CAC by ~10% while improving new-user quality. I built an AI-powered root-cause analysis system that cut analysis cycle time by ~50% and created experimentation infrastructure (A/B testing dashboards) to scale data-backed decisions across growth.
Experience
Work history, roles, and key accomplishments
Owned end-to-end card-present fraud strategy, prioritizing and launching 30+ initiatives to capture ~$2M/month in incremental fraud impact. Led portfolio expansion and operational excellence efforts, including peak-season operations and optimization of live fraud strategies.
Product Analyst, Growth Strategy
CRED
Jul 2024 - Apr 2025 (9 months)
Owned referral growth strategy end-to-end, using cohort segmentation to reduce Customer Acquisition Cost (CAC) by ~10% while improving new-user quality. Built analytics and experimentation infrastructure to monitor performance and drive faster strategic pivots.
Risk Analyst, Model Risk Management
Credit Suisse
Jul 2017 - Jun 2018 (11 months)
Validated CCAR PPNR regression models for securitized products and designed stress-testing and backtesting frameworks across 28 macroeconomic factors to challenge assumptions and support regulatory compliance. Managed model governance lifecycle for 8 CCAR models and coordinated with internal audit to resolve findings.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kanpur
M.Tech and B.Tech, Civil Engineering
2012 - 2017
Grade: CPI: 9.2/10 (M.Tech), 8.3/10 (B.Tech); AIR 2212 (IIT-JEE 2012)
Completed a B.Tech and M.Tech in Civil Engineering at IIT Kanpur, graduating in 2017. Reported CPI of 8.3/10 (B.Tech) and 9.2/10 (M.Tech), and secured AIR 2212 in IIT-JEE 2012.
Availability
Location
Authorized to work in
Job categories
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