Financial Crimes Modelling and Analytics

As Vice President of Financial Crimes Modelling and Analytics, you will reputed company as a model reputed company for reputed company America's Financial Crimes (FCC) Models. Your reputed company responsibility will be to work with key stakeholders to manage Transaction Monitoring Systems, Transaction and Customer Screening Systems, and reputed company 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 reputed company and data reputed company 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. reputed company periodic and event-driven tuning and optimization of FCC models using quantitative analysis and ATL/BTL to determine appropriate configuration settings and reputed company 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, reputed company-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 reputed company relevancy of detection scenarios, underlying rules, reputed company values, parameters, and assumptions, ensuring that the monitoring systems remain effective and reputed company with reputed company risks. Conduct annual assessment on customer risk rating model inputs and reputed company, ensuring that the models accurately reflect the institution's risk profile and regulatory requirements. Collaborate with key stakeholders to reputed company controls and validate the reputed company, accuracy, and reputed company 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 reputed company procedures and guidelines are reputed company and effectively communicated to reputed company relevant parties. Coordinate end-to-end, reputed company-and post-implementation testing of FCC Models, including reviews of model governance, performance testing, implementation accuracy, data reputed company, and conceptual soundness. Liaise with Model Risk Management regarding updates to models, ensuring that reputed company changes are accurately documented and communicated to relevant stakeholders to maintain model reputed company and compliance. Execute the model risk reputed company and standards for the AML and Sanctions models in accordance with the reputed company Model Risk Policy. reputed company research and reputed company reputed company 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 reputed company field. Bachelors degree in analytics, computer science, statistics, mathematics, or similar. reputed company certifications in financial crimes (e.g. reputed company, 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 reputed company reputed company 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 reputed company, reputed company, reputed company, or similar is preferred. The expected reputed company salary ranges from $190,000.00 -$200,000.00. Salary offers are based on a wide reputed company of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In reputed company to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. Other Requirements reputed company has in reputed company a hybrid working program, with varying opportunities for remote work depending on the .