Quantitative Risk Analyst (Mid-level) - AML Modeling

USAA•Tampa, FL

3d•$93,770 - $179,240•Hybrid

About The Position

USAA is seeking a Mid-Level Quantitative Risk Analyst specializing in anti-money laundering (AML) modeling and financial crime risk analytics. The analyst will use statistical and quantitative techniques to develop, monitor, and enhance risk models supporting AML compliance, risk identification, and regulatory requirements, while ensuring model performance and effectiveness. The role calls for strong analytical and problem-solving skills, attention to detail, clear communication of quantitative findings to technical and non-technical audiences, and collaboration with compliance, risk, audit, and business teams. This position has a flexible work environment but requires working in the office four days per week. It may be based in San Antonio or Plano, Texas; Phoenix, Arizona; Colorado Springs, Colorado; Charlotte, North Carolina; or Tampa, Florida. Relocation assistance is not available. The salary range is $93,770–$179,240, with actual pay varying by location, experience, and market data. Employees may also be eligible for performance-based incentives.

Requirements

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or another quantitative field, or four years of relevant education and/or experience.
Four years of related quantitative analysis experience relevant to risk management, including statistical analysis, modeling, mathematics, or another quantitative discipline; alternatively, an advanced degree or designation in a relevant quantitative discipline and two years of relevant work experience.
The role description specifies at least four years of quantitative risk experience within a large financial institution and at least two years of hands-on AML experience.
Strong analytical and problem-solving skills and exceptional attention to accuracy and detail.
Ability to communicate complex quantitative findings and risk insights clearly to technical and non-technical stakeholders.
Ability to collaborate across compliance, risk, audit, and business teams.
No immigration support or visa sponsorship is available for this role.

Nice To Haves

US military experience, including experience through military service or as a military spouse or domestic partner.
Bachelor's or master's degree in Statistics, Mathematics, Economics, Finance, Data Science, or a related quantitative field.
Four or more years of quantitative risk, model risk, fraud risk, or analytics experience within a large financial institution.
Two or more years of AML-focused experience, including transaction monitoring, customer risk scoring, sanctions, financial crimes analytics, or AML model development or validation.
Proficiency in SQL, Python, SAS, R, or similar analytical tools.
Knowledge of AML regulations, model governance, and risk management frameworks.

Responsibilities

Use advanced analytics to assess future risk, opportunities, and effectiveness, and translate results into solutions that enhance decision-making.
Assess and mitigate exposures by identifying key and emerging risks in alignment with risk strategy and appetite.
Prepare analytical materials for cross-functional discussions to clarify complex business objectives and influence solution strategies.
Produce and communicate analytical content for cross-functional teams, governance committees, and business process owners to influence business strategies.
Potentially create statistical reporting and financial analysis to forecast results for required stress-test scenarios, analyze and challenge results, and partner with relevant functions to validate them.
Potentially participate in model validations, prepare model validation reports, measure and aggregate model risks, and report model issues to committees, auditors, and regulators.