Data Solutions & Validation Sr. Specialist

What you'll do

• Analyze and validate rule-based and machine-learning financial-crimes models, detection logic, and filtering systems; test implementations and data pipelines.
• Tune models to improve risk detection and reduce false positives, and document findings, changes, issues, and recommendations.
• Partner with engineering, product, and compliance teams on model risk, remediation, and defensible regulatory and audit documentation.

What they ask for

• Bachelor's Degree or equivalent in a quantitative, technical, or financial field.
• 5+ years of experience across AML, Financial Crimes, or risk management in financial services or fintech, focused on model validation, quantitative analysis, or surveillance system management.
• 3+ years of direct experience verifying, validating, testing, or tuning AML rule-based systems and/or machine-learning models, and working knowledge of Model Risk Management principles and governance standards.
• Proficiency in SQL and experience with quantitative tools or programming languages for large-dataset queries, statistical analysis, and model-performance evaluation.

Pay

$136,000 — $160,000 USD (base salary); $120,000 — $141,000 USD (base salary); $106,000 — $125,000 USD (base salary)

Tools

SQL, Python, R, Large Language Models (LLMs)

AI focus

Use AI tools, Large Language Models (LLMs), and automation to improve productivity, deliverable quality, and team workflows; the role also validates machine-learning financial-crimes models.