Support the development and execution of the model monitoring roadmap
Lead performance oversight for high-impact models
Actively identifying and probing both explicit and implicit assumptions that could lead to model failure
Drive complex performance investigations
Oversee the design and evolution of monitoring tools, dashboards, and alerting systems
Maintain enterprise-wide monitoring standards
Manage the end-to-end project lifecycle for model monitoring activities
Serve as the coordinator for cross-functional teams involved in monitoring execution
Champion automation and scalability
Interface with model owners, developers, and validators

Requirements

Bachelor’s degree and a minimum of 3 years of experience in model analytics, monitoring, validation, or credit risk strategy within a financial or regulated setting
3+ years of experience programming with SAS, SQL, Python, or other relevant languages
Experience with utilizing model performance metrics such as KS, AUC, PSI, and statistical indicators of stability and drift
Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards
Ability and flexibility to travel for business as required

Benefits

Flexible work arrangements
Professional development opportunities
Bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SASSQLPythonmodel analyticsmodel monitoringmodel validationcredit risk strategymodel performance metricsdata visualizationstatistical indicators

Soft Skills

leadershipcommunicationcollaborationproblem-solvingflexibilityproject managementcritical thinkingautomation advocacyscalability focuscross-functional coordination