Accomplished Product, Analytics and Finance Executive with progressive industry background and decisive leadership style. Offers strategic planning abilities, background in change management and forward-thinking mindset. Ready for challenges and focused on meeting future demands.
Overview
19
19
years of professional experience
Work History
VICE PRESIDENT
PRIORITY TECHNOLOGY HOLDINGS INC
Atlanta, GA
07.2022 - 06.2023
Responsible for building US Product team consisting of 8 Product Managers, circa 100+ Engineers (US, India), running three payment products lines (~80% of top line revenue) across Small and Medium Business segment and innovating company-wide strategic product initiative a.k.a as Passport
Key performance metrics are driving top line revenue growth of 20% on a revenue base of $600M+ and driving operational KPI’s to seamlessly process $110B+/ year in payments volume while resolving issues
Led a very complex M&A Integration of products across 4 different cultures and teams
Built a high performing DEI US product team in Atlanta HQ, consisting of 8 product managers and technical writers
Delivered on 2022 revenue and operational KPI’s leading to performance bonus (100%) and commendation letter from CEO
Led a very complex M&A Integration of product and technology functions across US and India development teams
Launched the Merchant Funding Instant Funding initiative in incremental steps across POC, MVP, MLP and Full Solution
Led the financial transformation, enabled SOX compliance, streamlined and improved CAPEX/OPEX ratio reporting
Managed product lifecycle from end to end - including gathering requirements, user experience, product and operations roadmap, go-to-market strategy, product release communication, coordination and launch across multiple domains and/ or products.
Hired and managed employees to maximize productivity while training staff on best practices and protocols.
Identified opportunities to improve business process flows and productivity.
Head of Product Management, WW Disbursements
AMAZON.COM, Inc – CONSUMER PAYMENTS
Seattle, Atlanta, WA, GA
03.2021 - 07.2022
Responsible for leading Amazon Disbursements (Payouts) products strategy and roadmap worldwide with payouts reaching ~$1T, building products and delightful payment experiences for 3P Sellers, Vendors and Accounts Payable use cases for 56+ Amazon businesses WW, manage KPI's, reduce defects in the pipeline through business ops and tech ops teams
Oversaw product design and roadmap and coordinated aspects of development and rollout.
Conceptualized long-range product roadmaps and strategically designed according to market data and research.
Closely collaborated with Consumer Payments BU, Consumer Retail BU, AWS BU, FinTech/CFO/Treasury/Corporate Development/Legal teams
Acted as a Quarter back for "On Amazon Payments" and "Payments Services" Operating Plan for 2022
Laid the foundations for disbursements long range plan for enabling FinTech 2030 vision
Launched the first real-time payment (RTP) disbursement transactions for Amazon Flex business and 3P Sellers in US
Led the product roadmap and evaluate Push to Debit opportunities for faster payments through card rails
Closed the Visa-Amazon Acceptance agreement to launch Visa Direct (Push to Debit) pilot across three use cases
Reduced counterparty risk and improved redundancy through launching new banking partners in US, JP, UK and EU
Managed Banking Partners roadmaps WW to help execute product vision for Amazon Disbursements
Led Partner Lifecycle management, partner performance and partner case management workflow systems.
Sr. Director
ONDOT SYSTEMS INC
Atlanta, Santa Clara, GA, CA
05.2019 - 03.2020
Built the Product Strategy and Analytics Playbook, conducted a thorough competitive research assessment and laid out 30+ product themes and solutions the company can prioritize to build around insights and differentiated data assets
Built the MVP, Product Strategy roadmap and Product Requirements for Transaction Insights leveraging the basic transaction-level data from Processors and FI’s using Tableau Server and Snowflake pipelines
Provided Sales Enablement and analytical support for the “Card App” Product Solution Suite and ROI model
Designed the data architecture and product vision behind Consumer Persona's, Preferences and contextual offer strategy by laying out a roadmap using un-supervised machine learning modeling techniques with Tensorflow, Keras, Scikitlearn
Assisted the CEO in building the leadership team and business development activities in Atlanta.
Financial Services Analytics Leader
EQUIFAX
Atlanta, St.Louis, GA, MO
09.2016 - 02.2019
Responsible for leading a matrix global team of 30+ Sr.Directors/Analytical Specialists/Analytical Consultants/Statisticians/data analysts in executing on projects and initiatives supporting the Verification Services Products P&L of Equifax Workforce Solutions (EWS) business unit (~$1B business unit of Equifax)
Key performance metrics are Sales Revenue enablement ($400M+ across Financial Services, Talent Solutions and Government Vertical), number of data driven POC’s/ new use cases/Self-Serve Insights that support New Product Innovations
Delivered results supporting ~ $400M+ in sales enablement, Product development, innovation, analytical consulting, data strategy, strategic insights, predictive modeling, development of new use cases for income verification products across the customer value chain and key verticals (Auto, Credit Card, Retail card, Consumer Finance, Online Lending, Debt Management, Capital Markets, Communication, Insurance, etc)
Led analytics and sales support efforts for multiple customer co-innovation and key client/strategic engagements such as Capital One Credit Card Line Increase Programs, Credit Karma, Barclays Credit Card, American Express, Citizens, Chase Mortgage, State Farm, PIMCO, PNC Bank DDA, US Bank Auto, PWC, etc
Created/Architected a new product use case for Auto Pricing Optimization and Auto Pricing Index using the TWN Overlays
Transformed and led the D360 with USIS/ multi-business units (BU) data assets initiative to overlay EWS data assets with enterprise data assets via strict data governance and implementation roadmap
Led key initiatives such as the development of The Work Number Risk Score POC’s across Auto, Card, Retail and Personal Finance Verticals, leveraging state of the art machine learning tools such as Equifax Advanced Model Engine (AME/AI/ML).
Founder & President
LENDLIFT INC
Atlanta, GA
05.2013 - 09.2016
Founded in 2013, LendLift, set out on a mission to help address the problem with high interest credit card debt by creating a credit card refinancing/payoff marketplace platform for people who do not have prime credit ratings
Responsible for building a founding team, set the strategy, build product/technical roadmap, business development, fundraising activities
Built risk-based products (CCAR, Macro Scorecards), solutions and financial literacy tools
Provided strategic vision and leadership for a dynamic and lean FinTech start-up
Conducted target market research to scope out industry competition and identify advantageous trends.
Pivoted from building an online marketplace platform to becoming an enabler in providing risk and data solutions
Built the brand, product, online platform, strategic partnerships, technology, risk/financial/marketing strategy
Key mentions & Conferences: Village Capital FinTech Finalist- Most Innovative Start-ups, Southeast US 2015, TAG FinTech Innovation Award Finalists-2014 & 2015, Venture Atlanta Business Launch -Semi-Finalists 2015, TAG FinTech Hackathon 2015, LendIt conference – 2013,2014 & 2015, TAG FinTech Symposium-Innovation Alley selected companies 2015 & 2016, Semi-Finalist at Swim with Sharks 2013, Finalist @ two Incubators in NY 2013.
Management Consultant
Bank of America, Randstad
Charlotte
07.2009 - 10.2023
Model Independent Validation: Consumer Deposits Credit Loss Forecasting:
Construct Independent Validation for Consumer and Small Business Deposits provision loss forecasting model
Reviewed the forecast models that predict Over Draft Hard $ amount & Over Draft Fee Amount through 180-day pipeline
Conducted documentation and methodology review for deposits credit loss forecasting model
Created performance assessment templates for back testing and RMSE calculations
Conducted performance assessment for Provision Loss amount, Overdraft balance per account, Overdraft balance & cure rates
Model Independent Validation: First Lien Mortgage Credit Loss Forecasting:
Reviewed the Subjective Yellow sheet loss forecasts that derive the D180 scalars for LBAC and LCFC portfolios
Performed Independent validation for D180 scalar calculations in loan level subjective adjustments for credit loss forecasting
Documented the scalar calculation process in the Model GP site for internal and external audits
Provided recommendations and approvals for D180 scalar calculations.
S3 is an executive search firm sourcing risk management executive to Banks
Reported to the SVP of Analytics, based in Charlotte
Responsible for analyzing credit risk performance of the consumer and small business card portfolios, evaluating existing credit exposure management strategies for the card portfolio as well as developing challenger strategies utilizing both batch as well as automated (TRIAD/TSYS) processes
Responsible for analyzing risk performance of the credit card products, management of existing reports, as well as developing new reports based on business requirements
Work in conjunction with Marketing and Product partners to develop/execute appropriate portfolio campaigns that are within risk tolerance
RAJESH KOPPULA
as well as to monitor and evaluate post program performance in relation to key risk metrics
50% time spent on Risk Performance Analytics, 50% on Loss Forecasting/Stress Testing
Accomplishments
Executed monthly loss forecasts (CCAR), allowances, TDR’s, stress tests for Wells Fargo portfolios ($16B receivables)
Executed BASEL II forecasts (PD, LGD, EAD) under various stressed scenarios
Advised C-level audience on portfolio delinquency trends and macroeconomic impact on credit losses
Executed customer selection forecasts for Wholesale, Wealth, Brokerage and Retirement business lines
Promoted twice and received two recognition awards from Chief Risk Officer.
Sr.Financial/Credit Policy Risk Analyst
HSBC BANK NA
Salinas, Minneapolis, USA
05.2004 - 07.2009
Responsible for Risk Management functions including portfolio management, predictive modeling and other analytical functionalities using complex databases and building strategies; Leading cross-sell risk and marketing analytics for product & channel marketing teams (50+ members) with $800 MM+ Gross Revenue for fee-based products
Responsibilities for Financial Analyst included leading financial planning and analysis, providing financial and technical expertise on projects requiring moderately complex financial analysis; Developing, enhancing and monitoring pricing models, forecasting models and revenue models; Preparing and analyzing Operating and Strategic plans, including quarterly forecasts
Managed the risk acquisition strategies for GMAC/RDR channels (GM Owners ~ $2B in receivables)
Developed the HSBC SAS 360 Audit tool for Metro2 bureau reporting for the charge-off accounts and resolved Metro2 bureau reporting issues across Card Portfolios
Corrected the credit reports for 5M+ customers
Built credit protection combo and custom response models for prime and non-prime portfolios. The new predictive models showed up to 33% improvement in Telemarketing strategy when compared to the existing models
Spearheaded the design for “OPTIMAX strategy – Marketing strategy based on response and revenue drivers”
Led the M&A and Integration of Risk Analytics functions of an acquired portfolio (Metris, $8B in receivables).
Education
MIT SLOAN SCHOOL OF MANAGEMENT + CSAIL
2023
MBA - Finance, Economics And Strategy
COLUMBIA BUSINESS SCHOOL | LONDON BUSINESS SCHOOL
London, New York, NY
05.2013
Master of Science - Industrial Engineering
University of Cincinnati
Cincinnati, OH
05.2005
Bachelor of Science - Industrial Engineering
Indian Institute of Technology - Roorkee
Roorkee, India
05.2002
Skills
Artificial Intelligence, Machine Learning
Data & Analytics, Data Science, Predictive Modeling