Senior Financial Crimes Model Analytics Lead

Truist; Atlanta (GA); Remote; USD 150,000 - 190,000; Full time

Job summary

Truist is seeking a leader to direct the model analytics function within the Financial Crimes Program. You will design and drive analytics initiatives, build data quality and governance, and ensure timely, accurate insights for decision-making across a distributed team.

The role requires managing multi-geography staff, coordinating with internal and external partners, and presenting results to senior leadership. A strong SAS background and communication skills are essential for success.

Qualifications

• Bachelor's Degree or an equivalent combination of education and experience.
• Analytical, project management, and organizational skills with metrics, reporting, data, modeling, and/or technology initiatives.
• Proven management ability; experience managing projects as well as teams to successful outcomes.
• Seven years of SAS experience (or other applicable model development software) with application to large data problems and relevant statistical procedures; ability to test, maintain, and monitor models, including: threshold tuning, sensitivity analyses, and scenario testing
• Strong communication skills, both written and verbal
• Excellent interpersonal skills demonstrating the ability to interact with all levels of management effectively.
• Strong leadership and decision-making skills
• Ability to work with cross-functional teams in a high-stress, fast-paced and rapidly changing environment with teammates in multiple geographic locations
• Strong work ethic and desire to enhance knowledge base and technical skills
• Ability to handle ambiguity and adapt to shifting objectives
• Strong problem solving skills
• Adept with Microsoft Office products

Responsibilities

• Serve as leader of a team responsible for financial crimes model analytics initiatives and data strategy and/or data quality for the Financial Crimes program; responsible for salary administration, performance assessment, coaching, team member selection, training, subject matter expertise and career development of staff. This leader will plan, organize, coordinate, and manage work within assigned area of responsibility to meet division, department, and enterprise goals.
• Develop, maintain and supervise monitoring, performance reporting, and change-management processes. Work with stakeholders to ensure models fulfill the business objectives set for them.
• Identify and recommend model, process, and/or technology changes that will continually drive the program towards effective and efficient operations and strong control environments. Work with stakeholders to ensure models fulfill the business objectives set for them.
• Ensure delivery of accurate and actionable analytics, reporting, or data insights to aid key decision-making.
• Be a steward and champion of data quality and data management initiatives/best practices within Financial Crimes to help ensure complete, consistent, and accurate data for Financial Crimes program usage.
• Develop high functioning working relationships with internal and external partners to aid in achieving strategic objectives and a best in class Financial Crimes program.
• Whenever required, provide support and materials for responding to internal and external reviewers of the Financial Crimes program, as well as assist in managing and resolving issues that arise from these reviews as required.
• Ensure proper procedures and documentation on team processes are developed, maintained, and followed in accordance with enterprise standards.

Skills

Leadership

Analytical thinking

Project management

Communication skills

Cross-functional collaboration

Data modeling

SAS experience

Microsoft Office

Education

Bachelor's Degree

Master's degree (preferred)

Tools

SAS

Job description

Truist is seeking a leader to direct the model analytics function within the Financial Crimes Program. You will design and drive analytics initiatives, build data quality and governance, and ensure timely, accurate insights for decision-making across a distributed team.

The role requires managing multi-geography staff, coordinating with internal and external partners, and presenting results to senior leadership. A strong SAS background and communication skills are essential for success.