AML Model Validation Specialist: Threshold Tuning Expert

Matrix-International Financial Services; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Matrix is seeking a Model Validation Specialist to join its Financial Crime Analytics team. You will validate AML transaction monitoring models, tune detection thresholds, and assess performance against regulatory and industry standards.

This role involves collaboration with data scientists, compliance teams, and stakeholders to drive improvements and governance. Candidates should have 5–8 years in AML model validation or related fields, proficiency in SQL and Python/R, and a strong grasp of

Qualifications

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Data Science, Economics, Finance, Computer Science, etc).
• 5–8 years of AML model validation, model risk management, or financial crime analytics experience.
• Strong understanding of AML regulations and compliance frameworks (BSA, AML Directives).
• Proven expertise in AML Transaction Monitoring threshold tuning and optimization.
• Hands-on experience validating financial crime models and assessing model performance.

Responsibilities

• Validate AML and Financial Crime models and ensure regulatory alignment.
• Tune thresholds to improve detection while reducing false positives.
• Evaluate methodologies, data quality, and performance metrics.
• Create validation reports, model assessments, playbooks, and runbooks.
• Analyze large datasets to identify trends and areas for improvement.
• Collaborate with Compliance, Technology, and Business teams on governance.

Skills

AML/Financial Crime domain knowledge

Model validation

Data analysis

Stakeholder communication

Statistical analysis

Education

Bachelor's degree in a quantitative field

Tools

Oracle Mantas

Actimize Prime

Tableau

SQL

Python

R

Job description

Matrix is seeking a Model Validation Specialist to join its Financial Crime Analytics team. You will validate AML transaction monitoring models, tune detection thresholds, and assess performance against regulatory and industry standards.

This role involves collaboration with data scientists, compliance teams, and stakeholders to drive improvements and governance. Candidates should have 5–8 years in AML model validation or related fields, proficiency in SQL and Python/R, and a strong grasp of