Senior Model Risk Analyst

About the role

Join the Model Risk Management Group at Western Alliance Bank, where you will contribute to the firm’s model validation and governance activities. Your role will involve identifying, assessing, mitigating, and monitoring model risk, and supporting the development of the bank’s Model Risk Management program.

Responsibilities

• Conduct independent model validation activities, including evaluating conceptual soundness, reviewing ongoing monitoring plans and reports, and conducting outcomes analysis and benchmarking.
• Prepare comprehensive model validation reports and presentations.
• Aid in model governance activities, including enhancing policies and procedures, maintaining model and critical spreadsheet inventories, managing issues/findings, and producing quarterly reporting.
• Stay current with research and trends in statistical modeling and model risk management.

Requirements

• Minimum of 5 years of relevant experience in validating and/or developing the types of models used in the financial services industry.
• Masters degree or greater in a quantitative field such as Statistics, Economics, Math, Physics, Engineering or Finance. For Masters degree, 5+ years of related work experience, for PhDs, 2-3 years or more related work experience.
• Intermediate to Advanced knowledge of regulatory and legal compliance obligations, industry standards, and best practices.
• Intermediate to Advanced project management skills and ability to manage multiple projects independently.
• Intermediate to Advanced quantitative modeling, analytical, research, and programming skills.
• Intermediate to Advanced experience with Python, R, or SAS, with hands-on experience in SQL.
• Intermediate to Advanced verbal and written communication skills.

Qualifications

• Knowledge of general banking operations, including deposit operations, loan administration, treasury management, and other commercial banking products and services preferred.

Skills

• Statistical, financial, economic, and business expertise.
• Intermediate to Advanced knowledge of regulatory and legal compliance obligations, industry standards, and best practices.
• Intermediate to Advanced project management skills and ability to manage multiple projects independently.
• Intermediate to Advanced quantitative modeling, analytical, research, and programming skills.
• Intermediate to Advanced experience with Python, R, or SAS, with hands-on experience in SQL.
• Intermediate to Advanced verbal and written communication skills.

Benefits

Competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, an employee volunteer program, and a wellness program are among the benefits offered.