Digital Risk Model Analyst

We are a values driven organization putting Relationships FIRST. EagleBank (NASDAQ - EGBN) is focused on being Flexible, Involved, Responsive, Strong, and Trusted. By prioritizing meaningful connections with our customers, employees, and shareholders, we relentlessly deliver the most compelling, valuable service to our customers.

EagleBank is committed to inclusion, equity, and respect. We celebrate diversity and intentionally seek out opportunities to learn from one another's experience. We believe employees are essential to the building of relationships and we prioritize investing in employee growth and wellbeing. Employee involvement is fostered through resource groups, mentorship programs, community service, and scholarship opportunities for continued education. With features including maternity and parental leaves, wellness discounts, healthcare premium sharing, employer funding in your HSA account, and 100% 401(k) matching up to 4%, we pride ourselves in the ways we support our internal relationships. The minimum and maximum projected annualized salary for this position is: $72,600.00 to $114,631.20. Additional compensation may be possible based on experience and skills.

The Digital Risk Model Analyst leads the deployment and optimization of risk models within our banking operations. This role involves model risk assessments, data mapping, and validation ensuring accuracy and efficiency in predictive modeling.

Requirements:

Bachelor's Degree in Arts/Sciences (BA/BS) in Data Science, Finance, Statistics
• 3 years experience in model implementation, model validation, risk assessments, and parameter tuning

Preferences:

• Master's degree in Arts/Sciences (MA/MS)
• experience in banking operations, fraud detection, or credit risk modeling
• Hands-on experience with AI/ML model governance
• (FRM) Certified Financial Risk Manager
• (CFA) Chartered Financial Analyst
• Ability to pivot and creatively problem solve in a fast-paced environment
• Ability to manage multiple initiatives and responsibilities simultaneously
• Clear understanding of model risk management frameworks and working with or applying the standards set forth in supervisory letters guiding model risk management, to include OCC Bulletin 2011-12 and FRB SR 11-7
• Project management, bringing the ability to quickly put structure in place to manage the work
• Proficiency in Python, R, SQL, SAS or similar tools
• Strong communication and problem-solving skills

Don't meet all the requirements? We encourage you to still apply if you think you are the right person to join our community. We are always interested connecting with people inspired by our mission and values. If you aren't hired for this position, your resume will remain available for the next year and might be considered for future openings. Note: You can update your resume as often as needed.