Quantitative Risk Analyst - AML Modeling

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 #J-18808-Ljbffr Jobtailor