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Truist

Financial Crimes Model Analytics Officer II

Truist

. Lead and administer the model analytics function of Truist's Financial Crimes Program .

Posted 10/20/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in financial crimes model analytics, data quality management, and project leadership, with a strong focus on delivering actionable insights and maintaining compliance with relevant regulations. Proven ability to lead teams, manage complex projects, and foster effective stakeholder relationships in a dynamic environment.

Highest-signal resume keywords
Financial Crimes Model AnalyticsSAS ExperienceProject ManagementData Quality ManagementAnti-Money Laundering Experience

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data AnalyticsModel DevelopmentPerformance ReportingThreshold TuningSensitivity AnalysesScenario TestingMetrics ReportingStatistical ProceduresChange ManagementData Insights
Soft Skills
LeadershipCommunication SkillsInterpersonal SkillsProblem-Solving SkillsOrganizational Skills
Tools & Technologies
Microsoft OfficeModel Development Software
Certifications & Qualifications
Certified Anti-Money Laundering Specialist (CAMS)FRM DesignationCertified Risk Management Specialist
Industry Keywords
Financial CrimesAnti-Money LaunderingOFACFraudCompliance ProgramsLaws and Regulations

About the role

Key responsibilities & impact
  • Lead and administer the model analytics function of Truist's Financial Crimes Program
  • Design and drive initiatives to ensure accurate, effective, and efficient tools and insights for identifying and reporting potential financial crimes
  • Lead a team responsible for financial crimes model analytics initiatives and data strategy and/or data quality
  • Administer salary, assess performance, coach, select, train, and support career development of staff
  • Plan, organize, coordinate, and manage work 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 business objectives
  • Identify and recommend model, process, and technology changes to improve operations and strengthen control environments
  • Deliver accurate and actionable analytics, reporting, and data insights for key decision-making
  • Champion data quality and data management initiatives and best practices within Financial Crimes
  • Develop effective working relationships with internal and external partners
  • Provide support and materials for internal and external reviews of the Financial Crimes program
  • Assist in managing and resolving issues arising from reviews
  • Develop, maintain, and ensure adherence to team procedures and documentation in accordance with enterprise standards

Requirements

What you’ll need
  • Bachelor's Degree or an equivalent combination of education and experience
  • Demonstrated analytical, project management, and organizational skills and experience working 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, applied to large data problems and relevant statistical procedures
  • Ability to test, maintain, and monitor models, including threshold tuning, sensitivity analyses, and scenario testing
  • Strong written and verbal communication skills
  • Excellent interpersonal skills and ability to interact effectively with all levels of management
  • 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
  • Proficiency with Microsoft Office products
  • Master's degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration, or another applied quantitative science, or equivalent education and related training (preferred)
  • Five years of demonstrated experience with Anti-Money Laundering, OFAC, Fraud, and/or Compliance programs (preferred)
  • Knowledge of laws, rules, and regulations impacting financial crimes programs (preferred)
  • FRM designation, Certified Anti-Money Laundering Specialist (CAMS), Certified risk management specialist, or other qualified related professional certifications (preferred)
  • English language fluency required
  • 1st shift, United States of America

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Accidental death and dismemberment coverage
  • Tax-preferred savings accounts
  • 401(k) plan
  • At least 10 days of vacation during the first year of employment, prorated as applicable
  • 10 sick days, prorated as applicable
  • Paid holidays
  • Defined benefit pension plan, depending on position and division
  • Restricted stock units, depending on position and division
  • Deferred compensation plan, depending on position and division