Mizuho
Vice President, Financial Crimes Modelling and Analytics
Mizuho, New York, New York, us, 10261
Vice President, Financial Crimes Modelling and Analytics
Join to apply for the
Vice President, Financial Crimes Modelling and Analytics
role at
Mizuho Mizuho America's Financial Crimes (FCC) Models. Your primary responsibility will be to work with key stakeholders to implement and manage Transaction Monitoring, Real-Time Message Screening, Customer Screening, and Customer Risk Rating Systems to detect and prevent suspicious activity. Key Responsibilities: Configure and implement cutting edge AI-based RegTech tools, including an AI-based transaction monitoring system and Agentic AI for payment sanction screening alert review. Support FCC model upgrades, including a major upgrade to Mizuho’s best in class real-time sanction screening system, 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 machine learning, descriptive statistics, and ATL/BTL to determine appropriate configuration settings and thresholds. Conduct, automate, and optimize periodic Productivity Assessments to evaluate the continued relevancy of detection scenarios, underlying rules, threshold values, parameters, and assumptions, ensuring that monitoring systems remain effective and aligned with current risks. Conduct an annual assessment of Customer Risk Rating model inputs and thresholds, ensuring that the model accurately reflects 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. 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. 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 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 or higher in analytics, computer science, statistics, mathematics, or similar is preferred. Professional certifications in financial crimes (e.g. ACAMS, CFCS, CFE) preferred. Experience tuning and optimizing models for Transaction Monitoring, Transaction and Customer Screening, and/or Customer Risk Rating. 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 - $220,000.00. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.
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Join to apply for the
Vice President, Financial Crimes Modelling and Analytics
role at
Mizuho Mizuho America's Financial Crimes (FCC) Models. Your primary responsibility will be to work with key stakeholders to implement and manage Transaction Monitoring, Real-Time Message Screening, Customer Screening, and Customer Risk Rating Systems to detect and prevent suspicious activity. Key Responsibilities: Configure and implement cutting edge AI-based RegTech tools, including an AI-based transaction monitoring system and Agentic AI for payment sanction screening alert review. Support FCC model upgrades, including a major upgrade to Mizuho’s best in class real-time sanction screening system, 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 machine learning, descriptive statistics, and ATL/BTL to determine appropriate configuration settings and thresholds. Conduct, automate, and optimize periodic Productivity Assessments to evaluate the continued relevancy of detection scenarios, underlying rules, threshold values, parameters, and assumptions, ensuring that monitoring systems remain effective and aligned with current risks. Conduct an annual assessment of Customer Risk Rating model inputs and thresholds, ensuring that the model accurately reflects 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. 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. 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 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 or higher in analytics, computer science, statistics, mathematics, or similar is preferred. Professional certifications in financial crimes (e.g. ACAMS, CFCS, CFE) preferred. Experience tuning and optimizing models for Transaction Monitoring, Transaction and Customer Screening, and/or Customer Risk Rating. 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 - $220,000.00. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.
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