Model Risk Management Specialist

🔥 13 hours ago

🌐 Canada, Brazil, +5 more countries – Remote

🇨🇦 Canada – Remote 🇧🇷 Brazil – Remote 🇮🇪 Ireland – Remote 🇨🇾 Cyprus – Remote 🇵🇹 Portugal – Remote 🇵🇱 Poland – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔒 Insurance

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kraken Digital Asset Exchange

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• Perform independent validation of Transaction Monitoring, Customer Risk Assessment, Screening, and AI models built in Claude or ChatGPT • Review pre- and post-development model 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 EU AML/CFT Directives, US BSA/AML regulations, and FATF recommendations • Conduct AML/CFT risk assessments, identifying higher-risk customer segments, products, and geographies • Assess the effectiveness of controls and mitigants • Develop and implement ongoing model monitoring and maintenance procedures • Complete annual reporting and certification • Track model performance, identify degradation, and conduct regular model reviews and updates • Collaborate with Model Engineering, model owners, AML/CFT subject matter experts, business units, and risk management teams • Prepare model validation reports, risk assessments, and regulatory compliance reports • Develop and refine model validation frameworks and identify best practices and industry standards

🎯 Requirements

• Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or 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 Python, R, or SQL • Experience with data visualization tools such as Tableau or 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 • Professional certifications such as FRM, CDA, or CAP are nice to have • Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems is nice to have • Knowledge of cloud-based technologies is nice to have • Experience with agile development methodologies is nice to have

🏖️ Benefits

• Applicants may redact or remove age, date of birth, or educational attendance/graduation dates from resumes • Qualified applicants with criminal histories are considered consistently with the San Francisco Fair Chance Ordinance • Job-related skills or work-style assessments are applied consistently and are not the sole basis for employment decisions • Equal opportunity employment • Kraken product dogfooding is required for everyone once they join Kraken