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Truist

SVP, Financial Crimes Model Analytics

Truist

. Lead one or more Financial Crimes model analytics, monitoring optimization, data strategy, or innovation functions within the Financial Intelligence Unit .

Posted 10/7/2026full-timeRemote • North Carolina • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in Financial Crimes analytics, including Anti-Money Laundering and Counter-Terrorism Financing strategies, while providing technical leadership and fostering cross-functional collaboration. Proficient in data management, model development, and delivering actionable insights to support decision-making.

Highest-signal resume keywords
SAS ExperienceAnti-Money Laundering ExpertiseProject Management SkillsData Analytics ProficiencyLeadership and Decision-Making Skills

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 ModelingStatistical ProceduresThreshold TuningSensitivity AnalysesScenario TestingMetrics ReportingData StrategyFinancial Crimes AnalyticsData Quality ManagementProcess Documentation
Soft Skills
Strong Communication SkillsInterpersonal SkillsProblem-Solving SkillsAdaptabilityWork Ethic
Tools & Technologies
Microsoft OfficeModel Development Software
Certifications & Qualifications
Certified Anti-Money Laundering Specialist (CAMS)
Industry Keywords
Financial CrimesCompliance IntelligenceOFACFraudLaws and Regulations

About the role

Key responsibilities & impact
  • Lead one or more Financial Crimes model analytics, monitoring optimization, data strategy, or innovation functions within the Financial Intelligence Unit
  • Support Anti-Money Laundering and Counter-Terrorism Financing monitoring strategies
  • Serve as a senior subject matter expert and team lead
  • Drive strategic initiatives and influence cross-functional teams
  • Provide technical leadership to model owners and analytics resources
  • Deliver accurate and actionable analytics, reporting, and data insights to support decision-making and Financial Crimes Program operations
  • Champion data quality and data management initiatives and best practices
  • Develop and maintain relationships with internal and external partners
  • Maintain financial crimes subject matter expertise for self and teammates
  • 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 process procedures and documentation
  • Manage special projects directed by the Managing Director of Financial Crimes or GSS Director
  • Provide seasoned experience and guidance to management across Global Sanctions and Financial Crimes
  • May evolve into formal people leadership as the function grows

Requirements

What you’ll need
  • Bachelor's Degree or an equivalent combination of education and experience
  • Demonstrated analytical, project management, and organizational skills
  • Experience working with metrics, reporting, data, modeling, and/or technology initiatives
  • Ten years of SAS experience or other applicable model development software experience
  • Experience applying software 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, rapidly changing environment
  • Ability to work 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 a quantitative discipline or equivalent education and related training preferred
  • Seven years of demonstrated experience with Anti-Money Laundering, OFAC, Fraud, and/or Compliance Intelligence programs preferred
  • Knowledge of laws, rules, and regulations impacting financial crimes programs preferred
  • Certified Anti-Money Laundering Specialist (CAMS) or other qualified related professional certifications preferred

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, 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
  • Remote work may be available for the right candidate