Financial Crimes Modelling and Analytics

Mizuho Financial group•New York, NY

31d•Hybrid

About The Position

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, Real-Time Message Screening, and Customer Screening Systems 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 coordinate data quality and data lineage testing to maintain high standards of accuracy and reliability.

Requirements

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.
Experience tuning and optimizing models for Transaction Monitoring, Transaction and Customer Screening, and/or 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 Python, SQL, and/or VBA.

Nice To Haves

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 is preferred.
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.

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.
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.
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.
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.
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.