Mayank Johri

About Mayank Johri

A seasoned risk and compliance professional with over twenty-five years of comprehensive experience in financial crime risk management, advanced data science, machine learning innovation, and regulatory compliance. Leading financial crime risk strategy, modeling and analytics for major financial services institutions, with responsibility for developing and managing AML, sanctions, and fraud risk strategies, analytics, and models while establishing robust risk management procedures including detective and preventative controls.Previously oversaw risk data science and analytics during a complex bank integration, managing heritage operations and business-as-usual activities while coordinating seamless integration with acquiring institution\'s systems and processes. This role required maintaining operational stability during significant organizational transformation while managing relationships with regulators, auditors, and multiple stakeholder groups.Built a world-class risk analytics organization, progressing through increasingly senior roles from Director to Senior Vice President and Head of Strategy. Managed multidisciplinary teams of data scientists, business analysts, product managers, and program managers responsible for all aspects of financial crime risk management including BSA/AML compliance, OFAC sanctions screening, fraud prevention, and regulatory reporting. Coordinated extensively with regulators, examiners, auditors, model validation teams, and third-party reviewers during regulatory examinations. Developed and implemented comprehensive model governance frameworks for machine learning models, ensuring alignment with regulatory requirements and industry best practices.Consulting experience managing AML, sanctions, FCPA, CCAR, DFAST, and fraud detection engagements for Fortune 500 companies and major financial institutions, delivering strategy, transformation, validation, and remediation projects. Advised on transaction monitoring, sanctions screening, data controls, and reconciliation processes.Earlier career included managing compliance technology, transaction monitoring, sanctions systems, and business intelligence teams, and developing analytics applications.

Experience

1. Adjunct Professor

   Golden Gate University

   Jan 2018 — Present · San Francisco, CA, US

   Teaching machine learning, data visualization, and statistics courses in the business analytics program. Teaching MSBA 327 Natural Language Processing in Fall 2024.

Education

• California State University-Sacramento

  MS Business Administration, Management Information System

  1999 — 2001