Model Risk Management Specialist

Overview

In this role you will validate and monitor AML/CFT-focused models to ensure accuracy, robustness, and regulatory compliance. You will work with cross-functional teams to improve risk controls and model methodologies within a globally active crypto-financial platform. You’ll assess performance, biases, and data quality, while shaping the standards for model validation and documentation. This opportunity lets you deepen your impact on open finance and stay at the forefront of crypto risk management.

Responsibilities

• Independent validation of Transaction Monitoring, Customer Risk Assessment, and Screening models
• Assess model performance, accuracy, and stability
• Identify biases and evaluate AI models used for AML/CFT
• Ensure regulatory compliance with AML/CFT standards
• Conduct risk assessments for AML/CFT risks across segments, products, and geographies
• Develop and maintain ongoing model monitoring and certification processes
• Prepare validation reports, risk assessments, and regulatory compliance documentation
• Contribute to methodology development and best practices for model validation
• Collaborate with model engineers, subject matter experts, and risk teams

Key requirements

• 3+ years in model validation, risk management, or related AML/CFT field
• Strong understanding of machine learning and statistical modeling
• Deep understanding of fiat and crypto payment flows
• Proficiency in Python, R, SQL
• Experience with data visualization tools (Tableau, Power BI)
• Strong communication skills to convey complex concepts to non-technical stakeholders
• Knowledge of financial markets, products, and services

• excellent written and verbal communication
• cross-functional collaboration
• problem-solving mindset
• machine learning and statistical modeling
• programming in Python, R, SQL
• data visualization (Tableau, Power BI)

…