Model Risk Management Specialist
Kraken· Compliance
RemoteFull-timePosted 1mo ago
About the role
We are seeking a highly skilled Model Risk Management Specialist focusing on Transaction Monitoring and Customer Risk Assessments models for AML/CFT. Responsible for independent validation, regulatory compliance, risk assessment, monitoring, collaboration, documentation, and methodology development.
Responsibilities
- Model Validation: perform independent validation of Transaction Monitoring / Customer Risk Assessment / Screening models, AI models (built in Claude or ChatGPT), including reviewing model pre & post development documentation, data quality, accuracy, access and testing methodologies; assessing model performance, accuracy, and stability; evaluating model risk and identifying potential biases; reviewing AI Models for AML/CFT Program
- AML/CFT Regulatory Compliance: ensure Transaction Monitoring and Customer Risk Assessment models comply with AML/CFT regulations (EU directives, US BSA/AML, FATF)
- Risk Assessment: conduct risk assessments to identify potential AML/CFT risks, identify higher-risk customer segments, products, and geographies; assess effectiveness of controls and mitigants
- Model Monitoring and Maintenance: develop and implement procedures for ongoing model monitoring and maintenance (annual reporting & certification, tracking performance, regular reviews and updates)
- Collaboration and Communication: work with Model Engineering, AML/CFT SMEs, business units and risk management teams
- Documentation and Reporting: prepare and maintain model validation reports, risk assessments, regulatory compliance reports
- Methodology Development: contribute to development and maintenance of model validation methodologies, frameworks, best practices
Qualifications
- Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering)
- 5+ years of experience in model validation, risk management, or related field ( AML/CFT preferred)
- Understanding of international Model Risk Management rules/regulations (e.g., 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 (Python, R, SQL)
- Experience with data visualization tools (Tableau, Power BI)
- Strong understanding of financial markets, products, and services
- Excellent written and verbal communication skills
Skills
Required:Model validationAML/CFT regulatory knowledgeProgrammingCommunication
Nice to have:Data visualization
Benefits
- (Not explicitly listed in the description)
Last updated Sep 16, 2026. Interested? Apply on the company site.
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