Binsar Marseto

Binsar Marseto specializes in financial crime compliance ("FCC") technology and data analytics, with more than 15 years of experience helping institutions improve operations, minimize risks and meet regulatory requirements by implementing, calibrating, and validating technology platforms. Binsar provides FCC-related technology and data analytics services to clients ranging from G7 central banks to traditional banking institutions to fintech and virtual asset service providers. He has led various model validation and independent reviews of FCC models, applying methodologies aligned with the Office of the Comptroller of the Currency’s ("OCC") supervisory guidance on model risk management, including assessments of model governance, conceptual soundness, data integrity, and output validation. These validations and reviews include transaction monitoring, sanctions/watchlist filtering, customer risk rating ("CRR") and blockchain analytics models and tools.

Binsar serves as a trusted advisor to clients undergoing remediation and transformation of their transaction monitoring, sanctions screening, and customer risk rating solutions. He has identified weaknesses in various clients’ FCC technology solutions and helped them remediate and recalibrate those solutions, and at times develop interim solutions until long-term strategic ones could be implemented. He advises clients on transforming their FCC technology landscape by assisting with system and data vendor selection and applying machine learning and artificial intelligence to improve operational efficiency.

Throughout his career, Binsar has served on monitor and independent consultant teams on behalf of various U.S. agencies, including the DOJ, New York DFS, FinCEN and the District Attorney of New York, providing monitorship and independent consultancy to traditional banking institutions and virtual asset service providers. He has also advised clients under monitorship to remediate and improve their FCC technology solutions.

Binsar holds a B.S. in Accountancy and Management information systems and a Master of Accounting Science from the University of Illinois at Urbana-Champaign. He is a Certified Public Accountant, a Certified Anti-Money Laundering Specialist and a Project Management Professional.

Relevant Experience:

-Oversaw the validation of both in-house and third-party FCC systems/models, such as Detica NetReveal, Fircosoft, LexisNexis Bridger, IDM IdentityMind, Chainalysis, CSI WatchDOG, CGI HotScan, Oracle Mantas, WorldCheck and FIS eGIFTS

-Designed a six-year blockchain transaction monitoring lookback to identify suspicious bitcoin cryptocurrency activity for a major cryptocurrency exchange under FinCEN’s consent order

-Supported a financial institution specializing in payment solutions for fintech partners in upgrading its sanctions screening system in preparation for the adoption of ISO 20022-compliant Fedwire payments

-Led a team of data scientists and technologists to develop a supervised machine learning model that can disposition transaction sanctions screening alerts, delivering a random forest-based model that reduced false positives by more than 50%, while accurately predicting 98% of true escalations with 99.99% confidence

-Performed a transaction monitoring coverage assessment for a global fintech payment company with merchant services, peer-to-peer payment and cryptocurrency offerings across 10 jurisdictions