Financial Crimes Modelling and Analytics (Finance)

As Vice President of Financial Crimes Modelling and Analytics, you will act as a model owner for Mizuho America's Financial Crimes ("FCC") Models. Your primary responsibility will be to work with key stakeholders to manage Transaction Monitoring, Transaction and Customer Screening Systems, and related processes to detect and prevent suspicious activities. You will ensure the appropriate configuration of FCC Models and coordinate data quality and data lineage testing to maintain high standards of accuracy and reliability. Additionally, you will support the models through tuning and optimization, maintain relevant documentation, and liaise with key stakeholders for model updates.

Key Responsibilities

• Customize and implement AI-based Transaction Monitoring, Transaction Screening, and Customer Screening Systems, ensuring that the systems are tailored to the specific needs of the organization and effectively detect and prevent suspicious activities.
• Collaborate with key stakeholders to develop controls and validate the integrity, accuracy, and quality of FCC data, ensuring accurate and complete data flows through the Transaction Monitoring and Filtering Program.
• Perform root cause analysis in collaboration with key stakeholders to promptly identify and address data quality failures, implementing corrective actions to prevent future occurrences and enhance overall data integrity.
• Perform an annual Scope of Monitoring Exercise to identify the source systems that feed the Transaction Monitoring and Filtering Systems, determine the underlying transaction types for each system, and assess which are relevant and require monitoring, ensuring that all relevant codes are feeding the automated and manual solutions.
• Work closely with key stakeholders to identify and maintain a comprehensive list of all data sources and relevant data for the Transaction Monitoring, Transaction and Name Screening, and Know Your Customer ("KYC") Programs, ensuring that all data is accurately captured and utilized.
• Perform periodic and event-driven tuning and optimization of FCC models using quantitative analysis and ATL/BTL to determine appropriate configuration settings and thresholds values while consideration AML and OFAC Risk Assessments.
• Maintain and update model documentation, standards, procedures, and other relevant documentation as needed, ensuring that all procedures and guidelines are current and effectively communicated to all relevant parties.
• Liaise with Model Risk Management regarding updates to models, ensuring that all changes are accurately documented and communicated to relevant stakeholders to maintain model integrity and compliance.
• Partner with the Chief Information Officer (CIO) function on the broader Data Program Roadmap, contributing to the development and implementation of strategic initiatives to enhance data quality and compliance across the organization.
• Execute the model risk framework and standards for the AML and Sanctions models in accordance with the Mizuho Model Risk Policy.
• Perform research and pilot projects for solutions to optimize FCC analytics work, exploring innovative approaches and technologies to improve the efficiency and effectiveness of financial crime detection and prevention.

Qualifications:

• 7+ years of experience in modelling and analytics, including significant experience in financial crimes analytics or related field.
• Bachelor's degree in analytics, computer science, statistics, mathematics, or similar.
• Professional certifications in financial crimes (e.g. ACAMS, CFCS, CFE) preferred.
• Experience coordinating data quality and data lineage programs and working with key stakeholders to improve data integrity, accuracy, and reliability, ensuring that all data processes meet the highest standards and support organizational objectives.
• Proficiency with Microsoft Excel and Word.
• Proficiency in programming Python, SQL, and/or VBA.
• Experience with business intelligence tools like Power BI, Tableau, Spotfire, or Looker is preferred.
• Experience with data science platforms like Anaconda, Dataiku, Alteryx, or similar is preferred.

The expected base salary ranges from $124,000.00 - $200,000.00. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.

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