Detecting and Preventing Identity Fraud with Machine Learning: Managing Potentials and Perils
The number of cyberattacks and fraudulent acts has been proliferating rapidly. Fraudsters have successfully made their way to access a victim’s financial resources through different schemes like stealing a victim’s personally identifiable information (PII).
Because failure to have a robust data solution can be costly and risky for the user and business alike, companies must adopt an identity fraud prevention tool to keep their platforms safe and their users verified. Leveraging a data science and machine learning model that could streamline the authentication of customer-provided data and predict fraudulent users are also crucial.
In this LIVE Webcast, Data Science Manager Dusan Bosnjakovic (TeleSign Corporation) and Quantitative Analytics Specialist Lian Yu (Wells Fargo) will provide the audience with an in-depth discussion of identity fraud detection and prevention with machine learning. Speakers will offer practical tips and strategies to help businesses while avoiding drawbacks and unwanted costs.
Key issues include:
- Identity Fraud: Trends and Statistics
- Leveraging Machine Learning in Financial Institutions
- Identifying Potential Identity Fraud with Machine Learning
- Best Fraud Defense Techniques
- Red Flags
Dusan Bosnjakovic, Manager of Data Science
- Sources of labeled data
- Working with imbalanced data
- Link analysis and network graphs
- Anomaly detection
- Role of domain experts
- Privacy and ethical considerations
- How do rules and models live together?
Lian Yu, PhD, Quantitative Analytics Specialist, Corporate Model Risk Group
- Overview of Identify Fraud
- Different dimensions of Identify Fraud in Financial Services
- Fraud Models in Financial Services
- Identify Fraud Risk Management
- Modeling Trend in Identity Fraud Detection
Who Should Attend:
- Chief Executive Officers
- Chief Risk Officers
- Chief Information Officers
- Anti-Fraud Directors/Managers
- Security Directors/Managers
- Fraud Analytics Directors/Managers
- Information Technology Executives
- Privacy and Data Security Officers
- In-house and Outside Counsel
Dusan Bosnjakovic is the Manager of Data Science within the Product Management group at TeleSign. He is responsible for developing a high velocity machine learning platform for TeleSign’s Digital Identity services. Prior to his current position, Dusan was a leader of an AI/ML Data Science team at Intuit focused on creating strategies for identity theft and payments risk.
Dusan has multiple AI/ML patents in his name and has given numerous talks on topics such as network analytics for fraud detection and interpretability of black-box models. In his previous career, Dusan worked in autism research where his team’s efforts were selected as the Time Magazine’s Top 10 Medical Breakthroughs of The Year. He holds a degree in Cognitive Psychology from the University of California, San Diego.
Dusan Bosnjakovic is the Manager of Data Science within the Product Management group at TeleSign. He is responsible for developing …
Lian Yu is Quantitative Analytics Specialist within the Corporate Model Risk group at Wells Fargo. She is responsible for validating and approving artificial intelligence/machine learning models including Fraud and Operations Risk. Prior to her current position, Lian was responsible for model development for transactional fraud models at Visa.
Lian is passionate about developing quantitative talent and fostering a culture of responsibility and intellectual curiosity. She has a Master’s degree in System Engineering and a Ph.D. in Industrial Engineering and Operations Research.
Lian Yu is Quantitative Analytics Specialist within the Corporate Model Risk group at Wells Fargo. She is responsible for validating …
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Method of Presentation:
On-demand Webcast (CLE)
NY Category of CLE Credit:
Law Practice Management
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About TeleSign Corporation
TeleSign connects and protects online experiences with sophisticated digital identity and programmable communications solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging your business to the complex world of global telecommunications.
About Wells Fargo
Wells Fargo & Co. is a diversified, community-based financial services company. It is engaged in the provision of banking, insurance, investments, mortgage, and consumer and commercial finance. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. The firm operates through Community Banking, Wholesale Banking, Wealth & Investment Management, and Other.
Corporate Model Risk group at Wells Fargo is responsible for independently overseeing the management of model risk exposures (including monitoring design or coding errors and appropriate model usage) and the quality of model risk management practices across the company. This oversight extends throughout the end-to-end model lifecycle including model identification, risk ranking, development, validation, implementation, usage, and monitoring.