Model Risk Management Specialist

From the listing

About the role

What you'll do

• Perform independent validation of Transaction Monitoring, Customer Risk Assessment, Screening and AI models built in Claude or ChatGPT.
• Review model pre- and post-development documentation, data quality, accuracy, access and testing methodologies.
• Assess model performance, accuracy and stability; evaluate model risk and identify potential biases.
• Review AI models for the AML/CFT Program.
• Ensure Transaction Monitoring and Customer Risk Assessment models comply with relevant AML/CFT regulations, including EU AML/CFT Directives, US BSA/AML regulations and FATF recommendations.
• Conduct risk assessments to identify potential AML/CFT risks associated with Transaction Monitoring and Customer Risk Assessment models, including higher-risk customer segments, products and geographies.
• Assess the effectiveness of controls and mitigants.
• Develop and implement ongoing model monitoring and maintenance procedures, including annual reporting and certification, tracking model performance and degradation, and regular model reviews and updates.
• Collaborate with Model Engineering and owners, AML/CFT subject matter experts, business units and risk management teams.
• Prepare and maintain high-quality model validation reports, risk assessments and regulatory compliance reports.
• Contribute to model validation methodologies by developing and refining validation frameworks and identifying best practices and industry standards.

What they're looking for

• Bachelor's degree in a quantitative field, such as mathematics, statistics, computer science or engineering.
• 5+ years of experience in model validation, risk management or a related field, preferably in AML/CFT.
• Understanding of international Model Risk Management rules and regulations, such as OCC SR 11-7.
• Strong understanding of machine learning and statistical modeling techniques.
• Deep understanding of fiat and crypto payment flows.
• Proficiency in programming languages, such as Python, R and SQL.
• Experience with data visualization tools, such as Tableau and Power BI.
• Strong understanding of financial markets, products and services.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Nice to have

• Professional certifications, such as FRM, CDA or CAP.
• Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems.
• Knowledge of cloud-based technologies.
• Experience with agile development methodologies.

From the company page

Benefits