Quantitative Risk Analyst – AML Modeling

Jobtailor; Arizona; On-site; USD 90,000 - 130,000; Full time

Job summary

USAA in Arizona is seeking a quantitative risk professional to apply advanced analytics to assess risk, opportunities, and the effectiveness of risk strategies. You will translate results into actionable solutions and support decision-making across teams.

The role emphasizes AML, model development/validation, stress testing, and clear communication of complex findings to both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in a quantitative field or 4 years of relevant education/experience.
• 4 years of quantitative risk analysis experience in risk management.
• Advanced degree/designation +2 years in a quantitative discipline relevant to risk management.
• At least 4 years of quantitative risk experience in a large financial institution.
• Minimum of 2 years of hands-on AML experience including monitoring, scoring, model development or validation.
• Experience with AML regulations, model governance, and risk frameworks.
• Proficiency in SQL, Python, SAS or R is preferred.

Responsibilities

• Use advanced analytics to assess future risk, opportunities, and effectiveness and translate results into solutions that enhance decision-making
• Identify and mitigate exposures by identifying key and emerging risks aligned with risk strategy and appetite
• Produce analytical materials for cross-functional discussions of complex business objectives and solution strategies
• Produce and communicate analytical content for cross-functional teams, governance committees, and business process owners to influence business strategies
• Create statistical reporting and financial analysis to forecast results for required stress test scenarios
• Analyze and challenge stress-testing results and partner with relevant functions to validate results
• Engage in model validations and produce model validation reports
• Measure and aggregate model risks
• Report model issues to committees, auditors, and regulators

Skills

Quantitative Risk Analysis

Model Validation

Statistical Analysis

AML Experience

SQL Proficiency

Education

Bachelor's degree in quantitative field (Economics/Finance/Statistics/etc.)

Advanced degree/designation in quantitative field with 2+ years experience

Tools

SQL

Python

SAS

R

Job description

• Use advanced analytics to assess future risk, opportunities, and effectiveness and translate results into solutions that enhance decision-making
• Identify and mitigate exposures by identifying key and emerging risks aligned with risk strategy and appetite
• Produce analytical materials for cross-functional discussions of complex business objectives and solution strategies
• Produce and communicate analytical content for cross-functional teams, governance committees, and business process owners to influence business strategies
• Create statistical reporting and financial analysis to forecast results for required stress test scenarios
• Analyze and challenge stress-testing results and partner with relevant functions to validate results
• Engage in model validations and produce model validation reports
• Measure and aggregate model risks
• Report model issues to committees, auditors, and regulators

Requirements

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or quantitative field; OR 4 years of relevant education and/or experience
• 4 years related quantitative analysis experience in a discipline relevant to risk management, including statistical analysis, modeling, mathematics or another quantitative discipline
• OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or another quantitative discipline and 2 years of work experience in a quantitative discipline relevant to risk management
• At least 4 years of quantitative risk experience within a large financial institution
• Minimum of 2 years of hands-on AML experience, including transaction monitoring, customer risk scoring, model development, model validation, or financial crime analytics
• Experience with AML regulations, model governance, and risk management frameworks
• Proficiency in SQL, Python, SAS, R, or similar analytical tools preferred
• Strong problem-solving abilities and exceptional attention to accuracy and detail
• Effective communication of complex quantitative findings and risk insights to technical and non-technical stakeholders
• Ability to collaborate across compliance, risk, audit, and business teams
• USAA does not provide visa sponsorship; applicants must not require immigration support now or in the future

Core Competencies

Demonstrates expertise in quantitative risk analysis, model validation, and statistical reporting, with a strong focus on AML regulations and risk management frameworks. Proficient in communicating complex findings to diverse stakeholders and collaborating across various teams to enhance decision-making.

Highest-signal resume keywords

• Quantitative Risk Analysis
• Model Validation
• Statistical Analysis
• AML Experience
• SQL Proficiency

ATS Optimization Keywords

Hard Skills

• Quantitative Analysis
• Statistical Analysis
• Model Development
• Model Validation
• Financial Analysis
• Risk Management
• Stress Testing
• Data Aggregation
• Risk Scoring
• Transaction Monitoring

Soft Skills

• Problem-Solving
• Attention to Detail
• Effective Communication
• Collaboration

Industry Keywords

• AML Regulations
• Risk Management Frameworks
• Financial Crime Analytics
• Governance Committees
• Business Process Owners

Tools & Technologies

• SQL
• Python
• SAS
• R