Jaydeep Jain
Mumbai
Summary
Motivated and results-driven Data Analyst with proven track record in interpreting & analyzing data to devise Fraud & Marketing strategies in BFSI sector. Identifies business needs and develops valuable solutions to build strategies for new products & combat Fraud attacks across digital products. Received awards for consistent & exemplary performance, also have good hands-on experience with SAS, Python, Tableau & SQL
Overview
4
4
years of professional experience
1
1
Certification
Work History
Assistant Manager (Fraud Strategy & Analytics)
Bank of America
Mumbai
04.2024 - Current
- Designed and implemented fraud detection strategies using SAS Fraud Management preventing $2MM in fraud monthly, leveraging velocity trends, transactional behavior, risk scores, fraud indicators, and device fingerprints to safeguard digital payment products
- Conducted macro and micro-level analysis of fraud and scam claims, leading to incremental monthly fraud capture of $1.5MM by recommending new user-defined aggregates to enhance detection of ATOs (Account Takeovers), first-party fraud, and scams across all products
- Enhanced prevention by leveraging mediums, phone intelligence, beneficiary aggregates across products and weighted risk scores to target impersonation, rapid money movement and low-dollar velocity attacks
- Built rules from ground-up for a digital payment product (Request for Payment/Real-Time Payments) without risk scores, developed a claim analysis ecosystem, identified loopholes in legitimate claim payments, and improved fraud handling, resulting in $30K monthly claim denials
- Contributed to model improvement by recommendations on device intelligence, login-to-transaction time reduction, & beneficiary-level velocity metrics, to enhance scam risk scores & detection. Executed preemptive analysis of simulated scores to evaluate incremental benefits to existing strategies
- Optimized existing rules to control over- and under-firing, resulting in a 30% reduction in FPR and reduced alert rates & customer friction by converting rules with diminished trends to self-service, altering based on customer segments - improving customer satisfaction while maintaining the same level of fraud coverage
- Ideated backup rules to address score failures and distribution changes, reducing score dependency and covering existing fraud trends, achieving 60% coverage and $10MM in monthly fraud
- Designed a mapping system for transaction and claim data, developing an automated ecosystem using Tableau & Autosys to track missing mappings and flaws, saving ~1,500+ man-hours annually
- Developed a Tableau strategy tool that eliminated the need for ad-hoc analysis and streamlined the strategy building process, resulting in faster response times, enabling macro strategy creation within Tableau, and reducing manual work by an estimated 600-800 man-hours annually
Lead Assistant Manager (Marketing Strategy & Analytics)
EXL
Ahmedabad
11.2020 - 03.2024
- Saved $4MM annually by optimizing campaign targeting for migration movements (low to high wallet size) based on customer engagement and spending patterns, and generated $1MM in annual revenue by analyzing second card and upgrade campaign responses to boost per-customer activity
- Reduced attrition from ~30% to ~15% annually by identifying primary attrition factors (Annual fees, Promotional offers, Gamers) and formulated strategies leveraging reward categories and points to mitigate annual fee impact
- Established criteria to identify gamer and engaged customers, improving acquisition and quality, and reduced affiliate gaming rates from 60% to 20% by detecting gamers early and enabling proactive interventions to influence behavior and strengthen channel partnerships
- Applied Matched Pairs experimental design to credit card analytics, allowing reliable and generalizable conclusions further implemented in over 20+ projects and also held 10 sessions to facilitate its adoption
- Recommended solutions to boost 2nd card and cross-product credit card penetration, also avenues like New to Bank comparisons, product offers, active account flows, flip rates, APR pricing, Balance generation, COF customer penetration, accelerated spends and wallet share increase leading to contribution in 60+ projects
- Experience in handling team of 2-3 members fostering team collaboration, ensuring timely work delivery and effective communication for flawless project execution (Handled 40+ projects in 2023)
Education
MBA - Finance
Institute of Management, Nirma University
Ahmedabad06-2020
B.Tech. - Electrical Engineering
Geetanjali Institute of Technical Studies
Udaipur07-2016
Skills
- Fraud Detection
- Marketing Strategy
- Digital Payments
- Credit Card Strategies
- Statistics
- Machine Learning
- Business Analytics
- Data Visualization
- SAS
- PYTHON
- TABLEAU
- SQL
- VBA & Macros
- EXCEL
- POWER BI
Certification
- Getting Started with SAS, Stacey Syphus, Director Education SAS, Certificate
- Applied Data Science I: Scientific Computing & Python (Honors), WorldQuant University, Certificate
- Applied Data Science II: Machine Learning & Statistics (Honors), WorldQuant University, Certificate
- Tableau fundamentals certification, Tableau & Salesforce, Certificate
- Data Analysis for Mutual Fund portfolio data using Python, 10-12 Weeks
- Inferential Statistics Analysis with Python, Certificate
Accomplishments
- Silver Award at the executive level for notable contributions & quick learning (Bank of America)
- Business Excellence Award for reflecting exceptional performance, innovation, leadership skills and flawless work delivery (EXL)
- Ace Award for yearly outstanding performance (EXL)
Timeline
Assistant Manager (Fraud Strategy & Analytics)
Bank of America
04.2024 - Current
Lead Assistant Manager (Marketing Strategy & Analytics)
EXL
11.2020 - 03.2024
MBA - Finance
Institute of Management, Nirma University
B.Tech. - Electrical Engineering
Geetanjali Institute of Technical Studies
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