Senior Analyst, Model Validator - Model Risk Management

About the role

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. We Expect Our Associates At All Levels To Grow professionally and inspire others to do the same Work with and through others to achieve desired outcomes Make prompt, pragmatic choices and act with the client in mind Take ownership and hold themselves and others accountable for delivering results that matter Contribute to the continuous evolution of the firm At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive.

Responsibilities

• Develop and manage working relationships with BSA/AML and fraud model stakeholders.
• Monitor and keep abreast of changes in AML and fraud related regulations, industry best practices, and MRM policies.
• Develop and evidence validation plans for BSA/AML and fraud-related models.
• Lead, perform and/or assist in model validations for BSA/AML and fraud-related models, including model documentation, model policies and procedures, conceptual soundness, data quality, assumptions/limitations, output analysis and ongoing monitoring metrics.
• Complete model validations and annual model reviews per validation plan.
• Maintain organized tracking of validation findings, issues, and remediations.
• Perform BSA/AML and fraud related model ongoing monitoring, annual review and other independent model review tasks.
• Assist in model governance activities related to AML and Fraud models.

Requirements

• BSA/AML and fraud models, regulatory requirements, including the Bank Secrecy Act, USA PATRIOT Act, and OFAC sanctions programs.
• Model Risk Management regulatory guidance SR 26-2 and OCC 2026-13.
• Statistics and other quantitative fields and data validation principles.
• The role of models in financial crime detection and prevention.
• Understanding of core model validation concepts and components.
• Microsoft Excel and Word for documentation, data analysis, and reporting.
• Clear written and verbal communication, especially in organizing findings and writing summaries.
• Analytical thinking, attention to detail, and structured problem-solving.
• Using data analysis software such as SQL, R, or Python for data validation and analysis.
• Understand how BSA/AML and fraud models operate and produce outputs.
• Learn regulatory expectations and apply them to model validation work.
• Collaborate with cross-functional teams in Financial Crimes, Risk, IT, and Compliance.
• Follow structured validation procedures and meet project deadlines.
• Document findings in clear, professional language.
• Bachelor’s degree in Finance, Economics, Mathematics, Data Science, Computer Science, or a related field.
• 3-6 years of professional experience in AML and Fraud model development and model validation, or work experience related to financial crime, data analysis, compliance.
• Proficient and strong understanding of risk management, data analytics, audit, or