Carson Leung
Verified Expert in Product Management
Product Manager
Vancouver, BC, Canada
Toptal member since March 30, 2022
Carson is a seasoned product manager with nine years of experience designing data-intensive solutions. He developed a broad range of products, from early warning systems to high-throughput data architectures and software-as-a-service cloud components. Carson is a strategic thinker, passionate about helping businesses scale through data-driven design and automation, who has made outstanding contributions to both Fortune 500 companies and hypergrowth tech unicorns.
Project Highlights
Expertise
- Agile
- Business Intelligence (BI)
- Dashboard Design
- Data Engineering
- Data Science
- Machine Learning
- Product Management
- Statistical Data Analysis
Work Experience
Product Owner
Questrade
- Managed two engineering teams to continuously deliver value to our end users by making managing their investment portfolio easier, more satisfying, and engaging.
- Conducted an infrastructure upgrade on the visual components to make the app more visually consistent and responsive and decrease development overhead.
- Delivered numerous cutting-edge investment features to help users make more informed investing features.
Product Manager
Diamond Merckens Hogan, Inc
- Worked with management to coordinate a group of three developers to rebuild a website for a multimillion construction company.
- Developed and implemented a QA plan to ensure that we deliver a segment of the website in each sprint that addresses our end customer's business needs based on the target audience, user personas, and user journey.
- Led the development team to adapt Agile software development best practices. Developed backlog, a triage process, and ran as Scrum Master.
Senior Data Analyst
Jumio
- Acted as a product manager to design and deliver a high-performance serverless database for business intelligence dashboarding, data analysis, and machine learning.
- Upgraded the company's flagship transaction monitoring product to enable financial recordkeeping and meet anti-money laundering (AML) regulations.
- Developed the roadmap for a fraud detection model to iteratively test and optimize rule sets based on customer traffic.
Senior Data Analyst
Mastercard
- Acted as project manager for the analytics team to deliver long-term projects in behavior analytics, anomaly detection, and database modeling for ETL.
- Upgraded fraud detection and biometric models to classify primary, secondary, and unknown users.
- Designed and implemented a system to automate data processing and business decision making.
Technical Product Analyst
Trulioo
- Designed and delivered a real-time alerting system to detect anomalies and degradation in platform performance.
- Acted as a product manager and product owner to ensure and monitor system availability and performance.
- Oversaw and developed a data standardization layer in the company's API.
- Designed analytic systems back end to author and automate tasks, such as data analytics, modeling, and ETLs.
- Spearheaded POCs for various mobile, business, banking, and online risk intelligence products.
Compliance Analyst
State Street
- Designed and implemented a system to detect insider trading activities across all APAC entities.
- Mitigated the internal audit risk by actively analyzing the compliance project roadmap for regulatory gaps.
- Modernized compliance controls via process reengineering.
Project History
Early Warning System
Designed and implemented an early warning system to detect performance degradation.
In response, I spearheaded the design, development, and maintenance of an early warning system that proactively scans all data vendors and key clients for disruption in the company's flagship products. The system immediately notifies the customer success, engineering, and management teams with a call to action if anomalies are detected. By automatically switching affected data sources to backup data vendors, this system prevented disruptions and minimized the impact on customers. This system made our team proactive instead of reactive, which was pivotal in securing larger customer contracts and expansion.
High-performance Analytics Database
Designed and coordinated data engineers and data scientists to deliver a high-performance database that enabled business intelligence dashboarding, advanced data-driven features, automation, and machine learning.
I designed the architecture for a high-performance, serverless database that seamlessly integrated with the existing AWS components. Because the database was serverless, it was also extremely low cost. With this database, we developed ETL pipelines for further data refinement, which enabled business intelligence dashboarding and improved data quality above the threshold for predictive modeling.
Another business-critical feature that relied on the database was the anti-money laundering incident recordkeeping, which provided metanalysis and quick fetching of customers' potential fraud incidents and enabled statistics to be reported upstream to regulatory bodies.
Predictive Behavior Analytics
Designed several upgrades for Mastercard's biometric model to enable classification of primary, secondary, and unknown user behaviors.
I worked with data science and data engineering to develop a new rule set that allowed the model to recognize and segment traffic into primary, secondary, and unknown user behaviors within one account. This reduced false-positive rates in many of the company's key accounts, sometimes upward to 12%. It was eventually adopted into a primary fraud detection method in its eCommerce marketplace clients.
Education
Bachelor's Degree in Mathematics
The University of British Columbia - Vancouver, BC, Canada
Certifications
AWS Certified Cloud Practitioner
AWS
Analytics Certification
Georgia Tech, via Coursera
Skills
Tools
Slack, Jira, Confluence, GitHub, R, Amazon Virtual Private Cloud (VPC), Amazon Elastic Container Service (ECS), AWS CloudFormation, Excel 2016
Paradigms
Agile, Key Performance Metrics, Requirements Analysis, Agile Product Management, Database Design, Database Schema Design, Scrum, Data-driven Design, Data-driven Development
Platforms
Jupyter Notebook, Blockchain, Blockchain Platforms, Docker
Industry Expertise
Financial Services, Real Estate
Other
Bitbucket, Google Drive, Statistical Data Analysis, Optimization, Programming, Python 3, Amazon S3 (AWS S3), Amazon EC2, Redshift, Data Warehousing, Product Management, Databases, Dashboard Design, Data Visualization, Data Science, Business Intelligence (BI), Data Analysis, Data Reporting, Data Management, Feature Backlog Prioritization, Product Roadmaps, Minimum Viable Product (MVP), Product Vision, User Experience (UX), Early-stage Startups, Project Timelines, Technology Trends, Product Strategy, Project Management, Data Science Product Manager, Predictive Analytics, Product Requirements Documentation (PRD), Product Discovery, Startups, Data Scraping, Technical Product Management, Product Consultant, Finance, Product Development, Strategy, Fintech, Cryptocurrency Wallets, Solution Architecture, Technical Consulting, Microsoft Excel, Business Strategy, Financial Modeling, Microsoft PowerPoint, Business Analysis, Data Quality, Data Cleansing, Data Cleaning, Cross-functional Collaboration, Reconciliation, Visual Studio Code (VS Code), Consumer Behavior, User Behavior, Data Analytics, Backlog Management, Stakeholder Interviews, Requirements, Project Planning, Roadmaps, Market Research, Feature Prioritization, Monetization, API Integration, Prototyping, Revenue Optimization, Risk Management, Artificial Intelligence (AI), Amazon Web Services (AWS), Architecture, Web 3.0, Crypto, Cryptocurrency, Accounting, Mobile Apps, Mobile App Development, AI Product Management, Online Payments, Estimations, Feasibility Studies, Mathematical Modeling, Machine Learning, Amazon SageMaker, AWS Lambda, Amazon QuickSight, Amazon Athena, Amazon Aurora, Dashboard Development, SQL, Data Modeling, Database Modeling, Data Product Manager, Kubernetes, Monitoring, Product Design, REST APIs, Data Engineering, Software Engineering, Automation, Data Quality Analysis, Data-driven Dashboards, User Research, Data Strategy, Statistical Modeling, Information Security, Software Requirements Specifications (SRS), Web App Development, Systems Analysis, System Requirements, IT Business Analysis, APIs, Stakeholder Management, Stakeholder Engagement, Scrum Master, Competitor Analysis & Profiling
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