Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are seeking a highly skilled and experienced Model Risk Management Specialist to join our team, focusing on Transaction Monitoring and Customer Risk Assessments models for Anti-Money Laundering (AML) and Combating the Financing of Terrorism (CFT) purposes.

The successful candidate will be responsible for ensuring that our Transaction Monitoring, Customer Risk Assessment and Screening models are robust, effective, and compliant with regulatory requirements.

Model Validation: perform independent validation of Transaction Monitoring / Customer Risk Assessment / Screening models, AI models (built in Claude or ChatGPT), including but not limited to: 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 that Transaction Monitoring and Customer Risk Assessment models comply with relevant AML/CFT regulations, including but not limited to: EU AML/CFT Directives. US BSA/AML regulations.

Risk Assessment: conduct risk assessments to identify potential AML/CFT risks associated with Transaction Monitoring and Customer Risk Assessment models, including but not limited to: Identifying higher-risk customer segments, products,



and geographies. Tracking model performance and identifying degradation. AML/CFT subject matter experts. Business units and risk management teams.

Documentation and Reporting: prepare and maintain high-quality documentation, including but not limited to: Risk assessments. Regulatory compliance reports. Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, 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. ~ Proficiency in programming languages (e.g., Python, R, SQL). ~ Experience with data visualization tools (e.g., Tableau, 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.

Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems Experience with agile development methodologies. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions.

As an equal prospect employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Follow us on Twitter

📌 Model Risk Management Specialist (Vancouver)
🏢 Kraken.com
📍 Vancouver