Provide technical leadership across the overall Analytics function
Accountable for significant business management areas with enterprise-wide impact
Manage and prioritize multiple projects independently
Collaborate with business owners to identify opportunities and data science solutions
Visualize insights from data and communicate results to stakeholders
Participate in enterprise initiatives as a subject matter expert

Requirements

U.S. Citizen / Green Card Holder authorization to work in the United States
Preferred: Undergraduate degree or advanced technical degree (e.g., math, physics, engineering, finance or computer science)
Preferred: Graduate's degree and either progressive project work experience or 5+ years of relevant experience
3-7 years experience in model risk management as Model Governance, Model Validate, or Model Developer
Managed model risk programs for model risk quant teams or AI/ML data scientists
Knowledge of Financial Crime Risk Management practices and associated regulations
Excellent project management experience, including planning, execution, and on-time delivery
Familiarity with programming languages (e.g., Python) and statistical analysis techniques

Benefits

Health insurance
401(k) matching
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Career development and training opportunities
Banking benefits and discounts
Reward and recognition programs

Applicant Tracking System Keywords

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

Hard Skills & Tools

Pythonstatistical analysismodel risk managementmodel governancemodel validationmodel developmentproject managementdata visualizationdata science solutionsfinancial crime risk management

Soft Skills

technical leadershipcollaborationcommunicationprioritizationindependencestakeholder engagementplanningexecutionon-time deliveryopportunity identification