United States
I have a passion for protecting what matters most to users of the digital world. Technical product strategy and leadership professional with a track record of minimizing fraud loss, malicious behavior and reducing customer friction. I specialize in roadmapping fraud and CIAM programs from basic “rules and tools” approaches to advanced, predictive modeling platforms through data science and threat inference. Most recently, I grew a cyber fraud investigations team at Adobe Inc, and transformed the fraud risk and customer account security programs at international remitter Sendwave (Zepz). Currently, I’m leading anti-fraud and ATO engagements for fintech and ecommerce clients. I am searching for unique challenges which require innovative data-driven solutions to balance cyber fraud threats and user experience. I'm always open to new ideas and projects that push the scope of digital fingerprinting and user authentication.
I lead Fraud, Abuse Prevention, and Application Security, overseeing a broad set of risk surfaces across the platform from code to customer interactions and payments.
We've helped clients solve a variety of complex fraud and abuse problems, including: • Fraud actor TTP development • Threat actor group identification/infiltration • Ecommerce, payments and marketplaces • Customer rewards and promotional programs • Adtech and user engagement abuse • IP theft and brand misrepresentation
• Lead high-impact cyber fraud investigations through data analysis, root-cause discovery, attack simulation and impact discovery – triage and develop remediation recommendations • Discover new product abuse vectors and document known exploit TTPs • Design and coach global fraud team on new operations workflows across 5 teams • Develop graph database technical use-cases for abuse investigations • Contribute to spec of holistic passwordless account authentication program • Build, scale & train 7-member Cyber Fraud investigations team (5 self-recruited hires in 4 months) • Accelerate team engagement through asynchronous communication and coached scripting skills
• Detect, measure and manage all financial fraud vectors across 70 markets
• Plan sprints, quarter, longterm KPIs & OKRs across Risk-Product, Operations & Risk Engineering/Data
• Significantly reduce new & returning user fraud friction
• Leverage multi-mil/yr budget to maintain
• Plan, scope and write prioritized Fraud team roadmap, sprints, mission, team roles, requisitions, priorities and supporting business case • Manage, create, test and deploy complex anti-fraud models and rulesets across multiple vendor solutions, WAF and core web applications • Provide empirical impact analysis on customer funnel pre- and post-release of controls • Investigate and communicate complex fraud and security incidents and TTPs • Conduct web penetration tests and vulnerability assessments for deployed codebases, product features • Develop incident response processes across global organization: SecOps, Fraud • POC AWS Fraud Detector and productionalize Sift, Ehawk: Automate ML model promotion process and analyst decision feedback loops • Lead growth of headcount from 0 to 4-member team as founding team member