Model Validation Analyst II

About the role

At Frost, it’s about more than a job. It’s about having a flourishing career where you can thrive, both in and out of work. At Frost, we’re committed to fostering an environment that reflects our values and encourages team members to be the best they can be. In joining our adaptable, integrity-driven team, you’ll become part of Frost’s over 150-year legacy of providing unparalleled banking services.

What you’ll do

• Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings, focusing on the most complex and significant models used within the organization.
• Ensure a thorough review by challenging key aspects of each model.
• Validate and review models regarding their theoretical soundness, testing design, and points of weakness.
• Interpret data to recognize any potential risk exposure; additionally, identify opportunities to use data in ways that enhance the strategic and tactical decisions made by management.
• Develop challenger models that help validate existing models and assist with outcome analysis.
• Ensure compliance with the model risk monitoring framework.
• Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes throughout the organization.
• Evaluate the Bank’s compliance with SR 11-7 regulatory guidance.
• Provide guidance and direction to less experienced analysts.
• Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes.

What you’ll need

• Master’s degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics.
• 2+ years of experience in the development or validation of financial, statistical, or mathematical models, preferably within the financial services industry.
• Mastery of statistics and numerical techniques.
• Demonstrated experience with documenting technical aspects of a model as well as presenting results/findings.
• Proficient in either SQL, SAS, R, or Python.
• Advanced knowledge of Microsoft Excel.
• Proficient in Microsoft computer applications.
• Excellent written and verbal communication skills.

Additional preferred skills

• Ph.D. degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics.

Benefits

• Medical, dental, vision, long-term disability, and life insurance.
• 401(k) matching.
• Generous holiday and paid time off schedule.
• Tuition reimbursement.
• Extensive health and wellness programs, including our Employee Assistance Program.
• Referral bonus program.