Mizuho America's Financial Crimes Modelling and Analytics team is looking to solve the problem of detecting and preventing suspicious activities through effective management of Transaction Monitoring, Real-Time Message Screening, and Customer Screening Systems.
Requirements
- 7+ years of experience in modelling and analytics, including significant experience in financial crimes analytics or related field.
- 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.
- 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.
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.
Other
- Bachelor’s degree in analytics, computer science, statistics, mathematics, or similar.
- Professional certifications in financial crimes (e.g. ACAMS, CFCS, CFE) preferred.
- 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.
