Financial Crimes Modelling and Analytics

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 Systems, Transaction and Customer Screening Systems, and related processes to detect and prevent suspicious activities. You will ensure the appropriate configuration of FCC Models and conduct coverage and productivity assessments to determine the effectiveness and comprehensiveness of monitoring systems. Additionally, you will support the models through data quality and data lineage testing and maintain relevant documentation.

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.
• 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.
• Execute a periodic Transaction Monitoring (TM) Risk & Typology Coverage Assessment, including maintaining a list of risks and typologies identified by regulators, standard-setters (FATF), and law enforcement, identifying products and services that require TM, and mapping those risks and typologies to the products and services that require monitoring.
• Conduct periodic Productivity Assessments to evaluate the continued relevancy of detection scenarios, underlying rules, threshold values, parameters, and assumptions, ensuring that the monitoring systems remain effective and aligned with current risks.
• Conduct annual assessment on customer risk rating model inputs and thresholds, ensuring that the models accurately reflect the institution's risk profile and regulatory requirements.
• 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.
• 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.
• Coordinate end-to-end, pre-and post-implementation testing of FCC Models, including reviews of model governance, performance testing, implementation accuracy, data integrity, and conceptual soundness.
• 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.
• 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 tuning and optimizing models for Transaction Monitoring, Transaction and Customer Screening, and Customer Risk Rating.
• Experience conducting Transaction Monitoring (TM) Risk & Typology Coverage Assessments, including mapping risks and typologies to products and services.
• Proficiency with Microsoft Excel and Word.
• Proficiency in programming in 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 $190,000.00 -$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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