Lead Data & Analytics Analytics

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programming models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications:

• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Hands-on experience in Credit Risk Analytics / Deep dive analytics.
• Experience in Acquisitionand Loss forecasting will be a plus.
• 5+ years of SAS & SQL experience.
• Experience in Tableau will be a plus.
• Solid problem-solving skills.
• Ability to research, trend, and analyze data
• Good verbal, written, and interpersonal communication skills
• Good project management skills
• Ability to develop partnerships and collaborate with other business and functional area
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Knowledge and understanding of issues or change management processes
• Ability to work effectively in a virtual team environment
• Knowledge of modeling and exploratory analytical techniques.
• Ability to research and reconcile general ledger accounts.