• Built insight-driven decision making culture by embedding analytics across the organization. Leading a team of data scientists and analysts as a centralized advanced analytics consulting service to solve business challenges in growth, pricing, revenues, costs, and process optimization.• Deploying models directly into our products and systems to improve and automate decisions in eKYC, risk, fraud, lending, CRM, adtech, and growth hacking.• Spearheading asset monetization initiatives by… Show more • Built insight-driven decision making culture by embedding analytics across the organization. Leading a team of data scientists and analysts as a centralized advanced analytics consulting service to solve business challenges in growth, pricing, revenues, costs, and process optimization.• Deploying models directly into our products and systems to improve and automate decisions in eKYC, risk, fraud, lending, CRM, adtech, and growth hacking.• Spearheading asset monetization initiatives by leveraging internally developed capabilities such as eKYC, deep understanding of Gcash user base, recommendation systems, graph, scoring and risk models. Show less

• Developed, negotiated and launched GSave in partnership with a leading digital bank in Southeast Asia. 2.5 years after our launch, nearly 5M users opened, in one click, a high yield savings account (up to 4% I.R.) at no cost, no fees, and no maintaining balance.• Developed and launched GInvest in partnership with an asset management firm. Over 3M verified GCash users signed up for the service and can invest in selected funds with minimum commitment as low as Php50 (USD $1).• Developed… Show more • Developed, negotiated and launched GSave in partnership with a leading digital bank in Southeast Asia. 2.5 years after our launch, nearly 5M users opened, in one click, a high yield savings account (up to 4% I.R.) at no cost, no fees, and no maintaining balance.• Developed and launched GInvest in partnership with an asset management firm. Over 3M verified GCash users signed up for the service and can invest in selected funds with minimum commitment as low as Php50 (USD $1).• Developed an insurance marketplace by collaborating with multiple insurance providers to provide customized products to GCash users. Insurance platform deploys multiple go-to-market strategies, including embedding insurance o ers in bill and merchant payments flows, and engaging merchants in B2B2C co-marketing e orts. Show less

• Developed and launched multiple lending products on the GCash platform (GCredit, GLoans, GGives, etc), the leading mobile wallet in the Philippines. By leveraging proprietary models, pre-approved users can activate and transact on credit, expanding commerce and financial services for a broader consumer base. Our products serve well over 1M users, with close to 2M credit decisions and loans disbursed monthly, and disbursed over 30 billion pesos

• Spearheaded creation of application, repayment and collection models. Collaborated with product teams to improve application processes, data collection and approval rates. Created metrics and framework to track product and collection performance.• Launched GScore from modeling to productization as a credit scoring tool that leverages user behavior on the GCash app to determine credit worthiness.

Completing intensive data science training in statistics and machine learning. Extensive experience using SQL, R and Python and Github.Completed projects include:■ Data Analytcs: Rigorous analysis of Lending Club’s data and credit rating model■ App Dev't: Built Shiny app simulating investment strategy outcomes on Lending Club’s platform■ Web Scraping: StreetEasy data scraping using Scrappy and BeautifulSoup and active rental analysis through a Shiny app■ Predictive… Show more Completing intensive data science training in statistics and machine learning. Extensive experience using SQL, R and Python and Github.Completed projects include:■ Data Analytcs: Rigorous analysis of Lending Club’s data and credit rating model■ App Dev't: Built Shiny app simulating investment strategy outcomes on Lending Club’s platform■ Web Scraping: StreetEasy data scraping using Scrappy and BeautifulSoup and active rental analysis through a Shiny app■ Predictive Modeling: Using random forest, GBM, and other machine learning methods to predict Rossmann's revenue for 1,115 stores. Participant in Kaggle competition. Show less

■ Led team of quantitative analysts, research and developers to build and improve risk valuation and pricing models, spearheaded reevaluation of credit valuation adjustment (CVA) metrics for global portfolio.■ Developed synthetic credit default obligation valuation model: multi-factor Gaussian copula with stochastic recoveries. Investigated different approaches to value hybrid portfolios and use multiple correlation curves. Facilitated development of new correlation mapping methods.■… Show more ■ Led team of quantitative analysts, research and developers to build and improve risk valuation and pricing models, spearheaded reevaluation of credit valuation adjustment (CVA) metrics for global portfolio.■ Developed synthetic credit default obligation valuation model: multi-factor Gaussian copula with stochastic recoveries. Investigated different approaches to value hybrid portfolios and use multiple correlation curves. Facilitated development of new correlation mapping methods.■ Led client restructuring solutions and trading for correlation exposure management.■ Appointed to ASCENT: leadership program for top performing employees and future leaders (top 80 of 21,000 employees). Show less

■ Developed rating and pricing methodology of various static and mangaged synthetic transactions, including collateralized debt obligations, leveraged super senior, rated equities, constant proportion portfolio insurance and debt obligations. ■ Structured and developed pricing instruments for life insurance products (LILACS).

■ Developed models to identify arbitrage among life insurance policies using statistical analysis of actuarial pricing models, mortality tables and mortality rates.■ Developed modern stochastic model to value synthetic collateralized debt obligations.