Analytics Manager with 10+ years of experience driving product and digital authentication strategy, partnering cross-functionally to turn complex data into actionable, business-driving insights.
Overview
12
12
years of professional experience
Work History
QUANT ANALYTICS Manager
JP Morgan Chase
New York, NY
01.2024 - Current
Own end-to-end analytics for FIDO-based authentication, partnering with Product, Engineering, UX, and Fraud Risk to define success metrics, experimentation strategy, and adoption measurement.
Manage and mentor a globally distributed team of four analysts across multiple time zones, setting analytical standards, prioritizing roadmaps, and delivering high-impact insights to senior stakeholders.
Lead the development of executive-level dashboards analyzing billions of login events, tracking authentication-method performance and login volume across Chase digital channels.
Translate complex analytical findings into actionable, recommendations that directly influence product roadmap and decisions.
QUANT ANALYTICS SENIOR ASSOCIATE
JP Morgan Chase
Phoenix, AZ
10.2018 - 01.2024
Conducted deep-dive analyses on digital authentication failures, delivering product recommendations that improved payment-flow completion rates by 7%.
Designed and executed A/B tests on mobile login experiences, identifying winning variants that drove an 8% YoY increase in iOS biometric adoption.
Developed authentication decisioning logic using decision tree and random forest models to identify key risk features and inform fraud-prevention strategies, reducing annual fraud losses by approximately $2M.
Built an analytics pipeline to segment customer voice-authentication scores by risk tiers, enabling differentiated authentication strategies and reducing fraud losses by over $3M annually.
DATABASE ANALYST
Wells Fargo via INT Technologies
Phoenix, AZ
08.2017 - 10.2018
Designed and maintained debit card transition dashboards to monitor key performance metrics for 5,000+ merchants.
Delivered customer-segmentation insights on new checking accounts to assess DDA debit card penetration and adoption across the U.S.
BUSINESS MANAGEMENT ANALYST
eBay Inc.
Shenzhen, China
12.2015 - 08.2016
Developed and implemented end-to-end shipping policy enhancements, resulting in a 10% reduction in shipping defect rates across Greater China sellers.
Partnered with cross-functional teams to design and launch an interactive seller-performance dashboard, enabling real-time visibility into shipping metrics and reduced overall defect rates by 20%.
BUSINESS ANALYST
Citigroup Inc.
Taipei, Taiwan
09.2013 - 10.2015
Established an RFM (Recency, Frequency, Monetary) analytics framework using 10M+ card-transaction and merchant-transition records to analyze customer payment behavior, inform targeting strategies, and drive a 25% increase in incremental credit-card revenue.
Designed and executed A/B tests on customer payment communications, reducing SMS campaign costs by 10% while maintaining engagement and conversion performance.
Education
Master of Arts - Economics
Syracuse University
Syracuse, NY
Master of Science - Economics
University of Essex
Colchester, UK
Bachelor of Science - Business Administration, Business Economics, Mathematics Minor
University of Arizona
Tucson, AZ
Data Incubator – Data Science Foundation Fellow - Applied Machine Learning
Received Phoenix Rising Star Award 2021 – Future Leader Program. (Selected from 60+ senior level top performers in Phoenix market), Received Spot Award based on performance recognition in 2016. (Exceeds expectations)
Timeline
QUANT ANALYTICS Manager
JP Morgan Chase
01.2024 - Current
QUANT ANALYTICS SENIOR ASSOCIATE
JP Morgan Chase
10.2018 - 01.2024
DATABASE ANALYST
Wells Fargo via INT Technologies
08.2017 - 10.2018
BUSINESS MANAGEMENT ANALYST
eBay Inc.
12.2015 - 08.2016
BUSINESS ANALYST
Citigroup Inc.
09.2013 - 10.2015
Master of Science - Economics
University of Essex
Bachelor of Science - Business Administration, Business Economics, Mathematics Minor
University of Arizona
Data Incubator – Data Science Foundation Fellow - Applied Machine Learning