Quantitative Risk Analyst Senior – Enterprise Risk Management

About the role

USAA seeks a Senior Quantitative Risk Analyst to join Enterprise Risk Management (ERM) within the organization. This role will leverage advanced analytics, automation, and emerging technologies to strengthen risk insights, improve operational efficiency, and support enterprise risk simplification initiatives.

Responsibilities

• Utilizes advanced analytics to assess future risk, opportunities, and effectiveness and translates results into meaningful solutions to enhance decision making.
• Applies advanced knowledge and industry best practices to quantify risk and aggregate exposures.
• Engages in model validation and produces model validation reports.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change.
• Translates recommendations into communication materials to effectively present to colleagues for peer review and management.
• Applies advanced knowledge to produce advanced analytical material for discussions with cross functional teams to understand complex business objectives and influence solution strategies.
• Provides mentorship to other team members in the peer review process.

Requirements

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or quantitative field; OR 4 years of relevant education and/or experience.
• Advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 4 years work experience in a quantitative discipline relevant to risk management.
• PhD in Economics, Finance, Statistics, Mathematics, or other quantitative discipline and up to 2 years work experience in a quantitative discipline relevant to risk management.
• Advanced proficiency in: Excel (Power Query, Power Pivot, advanced modeling), Power BI, Tableau, or equivalent visualization platforms, SQL, Python, R, or other statistical programming languages.

Qualifications

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or quantitative field; OR 4 years of relevant education and/or experience.
• Advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 4 years work experience in a quantitative discipline relevant to risk management.
• PhD in Economics, Finance, Statistics, Mathematics, or other quantitative discipline and up to 2 years work experience in a quantitative discipline relevant to risk management.
• Advanced proficiency in: Excel (Power Query, Power Pivot, advanced modeling), Power BI, Tableau, or equivalent visualization platforms, SQL, Python, R, or other statistical programming languages.

Skills

• Experience accessing and analyzing complex data inputs to develop well-reasoned insights and recommendations.
• Excellent written and verbal communication skills.
• Experience supporting enterprise-wide risk management programs and governance processes.
• Strong understanding of ERM frameworks, risk assessment methodologies, and risk reporting practices.
• Experience leveraging AI-enabled productivity and analytical tools such as: GitHub Copilot; Microsoft Copilot; or Generative AI platforms.

Benefits

• Comprehensive medical, dental and vision plans.
• 401(k).
• Pension.
• Life insurance.
• Parental benefits.
• Adoption assistance.
• Paid time off program with paid holidays plus 16 paid volunteer hours.
• Variety of wellness programs.
• Career path planning and continuing education.

Pay

The salary range for this position is: $114,080 - $218,030.