Justin Wang
Risk Analytics Manager at Uber
- Role
- Risk Manager at Uber
- Location
- Union City, CA, US
- LinkedIn followers
- 500 followers
About Justin Wang
Specialties: Exploratory Data Analysis, Statistical Modeling including ANOVA, Linear Regression Analysis, Logistics Regression, Data mining, Data Management and AnalysisKnowledge Baseo Scripting Languages: SQL, R, Python(NumPy, SciPy, Pandas)o Analysis Tools: SAS (Certificate on Base Programmer), Minitab, Excel (pivot table)o BI Tools: Tableau, Lookero Databases: MS SQL Server 2008, Access, Hadoop (Hive, Pig)o Platforms: Linux (Red hat, Ubuntu), Mac OS, Windowso Tools: MS office, VNC, VMware
Experience
Risk Manager
Sep 2021 — Present
Team Leadership & Mentorship: Direct and mentor a team to develop and execute globalpayment fraud strategies across Uber’s enterprise and new venture portfolios, including Uber for Business (U4B), Uber for Family (U4F), Freights, Vouchers, MicroSMB, Uber Rent, and Uber Tour(train tickets).• Strategic False Positive Reduction: Spearhead strategic initiatives to minimize False Positives (FPR) and recover good Gross Bookings (GB) by establishing robust Control Group (CG) setups and driving lightweight experimentation (SXP) frameworks to track incremental GB (iGB).• Loss Forecasting & Fraud Mitigation: Oversee complex loss forecasting (Self-Serve, Daily, and Monthly Billing) and successfully mitigate large-scale Chargeback (CB) and Do Not Settle (DNS) fraud attacks globally. • Orchestrated rapid responses to vulnerabilities involving destination changes, split-tender transactions, refund and appeasement fraud, and promotional abuse.• Product Risk Integration & Automation: Partner with Product, Engineering, and Machine Learning teams to integrate dynamic risk controls into new product launches. Led the deployment of comprehensive 3DS/PAC (PennyAuth Challenge),KYC, KYB compliance strategies, real-time Auth-Hold mechanisms, and automated rule deprecation in favor of high-precision Auto-Refit ML models.• Cross-Functional Governance: Drive alignment between core services (Identity, Risk, Payments) and global operations (Manual Review) to manage escalation processes, optimize manual review queues, and enforce risk policies across US, EMEA, LATAM, and APAC markets
Education
Northeast Agricultural University
Bachelor's degree, Biotechnology
2001 — 2005
California State University - East Bay
Master's degree, Statistics
2013 — 2015
Skills
- Looker
- Apache Pig
- Data Mining
- Selenium
- Cisco Technologies
- Vmware
- Hadoop
- Relational Databases
- Sql
- Linux
- Statistics
- Sas Programming
- Programming
- Microsoft Office
- Minitab
- R Programming
- Brocade Fibre Switches
- Tableau
- Microsoft Excel
- Ccna
- Access
- Probability
- Hive
- Python
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