Senior Risk Analyst - Fraud Model Validation

$105,000 - $150,000/Yr

First Citizens Bank

Full-time - Senior

Remote

Credit Intermediation and Related Activities

About the position

The Senior Risk Analyst position at First Citizens Bank is a remote role focused on validating the Bank's fraud models within the Model Risk Management (MRM) team. The role requires strong expertise in AI/ML and a comprehensive understanding of transaction workflows. The analyst will conduct independent validations, ensure models align with business objectives, and communicate findings to stakeholders, including senior management and regulatory agencies.

Responsibilities

• Conduct independent model validations to ensure fraud models align with business objectives and design objectives.
• Verify that models are performing as expected.
• Identify potential limitations, including assessing potential impact.
• Write detailed model validation reports presenting results from a thorough validation plan.
• Communicate model validation findings to model owners, senior management, and regulatory agencies as required.
• Perform annual reviews and review ongoing monitoring reports to ensure models are performing as intended.
• Interact with key stakeholders throughout the model lifecycle, including validation and ongoing performance evaluation.
• Suggest enhancements to the existing fraud validation process, including validation templates and automation of repetitive tasks.
• Guide junior team members on model validations.

Requirements

• Bachelor's Degree and 4 years of experience in Risk management, financial analysis, or statistical modeling, OR High School Diploma/GED and 8 years of experience in the same fields.
• Minimum 7+ years of experience in model development and implementation or model validation within the financial industry.
• Minimum 5+ years of fraud analytics experience with software such as Python, SAS, or R.
• Experience developing or validating fraud models, including card transaction models, wire transactions, check processing, and customer verification.
• Well-versed with various performance metrics and their use cases, including Kolmogorov-Smirnov, Value Detection Rate, and Precision.
• Experience maintaining or validating vendor-developed models.
• Strong analytical skills and ability to find patterns in transactional data.
• Advanced programming skills in Python, SQL, SAS, or R.
• Experience using SQL to pull data from enterprise warehouse databases.
• Exceptional understanding of the banking industry and business lines.
• Good understanding of federal guidance related to model risk management (SR 11-7, OCC 2011-12).

Nice-to-haves

• Advanced degree (master's or Ph.D.) in a quantitative field such as Data Science, Operations Research, or Applied Statistics.
• Experience communicating validation standards and technical concepts to key stakeholders.

Benefits

• Comprehensive benefits program for full-time associates (20+ hours) with customized offerings to support families.