Model Risk Management Specialist

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.

Before you apply we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.

THE TEAM Founded in 2011 Kraken is one of the world's longest-standing crypto platforms trusted by over 10 million individuals and institutions across the globe.

It offers spot trading margin futures staking and OTC services with products built for both individual investors and institutional clients.

THE OPPORTUNITY 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. - FATF recommendations. - 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. - Assessing the effectiveness of controls and mitigants. - Model Monitoring and Maintenance: develop and implement procedures for ongoing model monitoring and maintenance including but not limited to: - Annual reporting & certification - Tracking model performance and identifying degradation. - Conducting regular model reviews and updates. - Collaboration and Communication: collaborate with various stakeholders including but not limited to: - Model Engineering and owners. - 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: - Model validation reports. - Risk assessments. - Regulatory compliance reports. - Methodology Development: contribute to the development and maintenance of model validation methodologies including but not limited to: - Developing and refining model validation frameworks. - Identifying best practices and industry standards.

WHAT YOU BRING - Bachelor's degree in a quantitative field (e.g. mathematics statistics computer science engineering). - 3+ years of experience in model validation risk management or a related field preferably in AML/CFT. - Strong understanding of machine learning and statistical modeling techniques. - Deep understanding of fiat and crypto payment flows - 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.

NICE TO HAVES - Professional certifications (e.g.

FRM CDA CAP). - Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems - Knowledge of cloud-based technologies. - Experience with agile development methodologies.

Unless a specific application deadline is stated in the job posting applications are accepted on an ongoing basis.

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.

We consider qualified applicants with criminal histories for employment on our team assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents backgrounds contributions and unique perspectives that everyone brings to the table.

We hire based on merit seeking out people with the right abilities knowledge and skills for the job.

We encourage you to apply for roles where you don't fully meet the listed requirements especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process.

These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions.

Results are considered alongside experience and interviews and are not the sole basis for any employment decision.

As an equal opportunity 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.

Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice