Senior Data Solutions & Validation Specialist

What you'll do

• Perform quantitative and qualitative analyses of rule-based and machine learning financial crimes surveillance models.
• Act as a technical bridge to evaluate data pipelines and remediate model issues with engineering teams.
• Execute statistical analyses to tune models, maximizing risk detection while reducing false positive volumes.
• Conduct data validation and logic testing to ensure the integrity of critical data pipelines.
• Serve as a subject matter expert in AML and Model Risk for cross-functional partners.
• Maintain change management policies and documentation for internal audits and external regulators.
• Leverage AI tools and automation techniques to optimize team workflows and improve deliverable quality.
• Author technical validation reports and executive summaries regarding model performance and testing logic.

What we're looking for

• Bachelor's Degree or equivalent in a quantitative, technical, or financial field.
• 5+ years of experience in AML, Financial Crimes, or risk management within the financial services or fintech industry.
• 3+ years of direct experience in the verification, validation, testing, or tuning of AML rule-based systems and/or machine learning models.
• Working knowledge of core Model Risk Management (MRM) principles and governance standards.
• Proficiency in SQL and experience using quantitative tools or programming languages like Python or R to query large datasets and perform statistical analyses.
• Ability to explain complex technical and quantitative concepts to non-technical partners through excellent verbal and written communication.
• Experience leveraging AI tools, Large Language Models (LLMs), and automation techniques to optimize workflows.