
Financial Crimes Model Analytics Officer II
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Florida, +1 more state.
• Oversee and manage the model analytics division of Truist's Financial Crimes Program.
• Create and implement initiatives that guarantee precise, effective, and efficient tools and insights for detecting and reporting potential financial crimes.
• Lead a team focused on financial crimes model analytics initiatives, data strategy, and/or data quality.
• Manage salary administration, evaluate performance, coach, recruit, train, and facilitate the career progression of team members.
• Plan, organize, coordinate, and direct work efforts to achieve division, department, and enterprise objectives.
• Develop, maintain, and oversee monitoring, performance reporting, and change-management processes.
• Collaborate with stakeholders to ensure that models meet business goals.
• Identify and propose modifications to models, processes, and technologies to enhance operations and fortify control environments.
• Provide precise and actionable analytics, reporting, and data insights for critical decision-making.
• Advocate for data quality and management initiatives and best practices within the Financial Crimes sector.
• Build effective working relationships with both internal and external partners.
• Offer support and resources for internal and external evaluations of the Financial Crimes program.
• Aid in the management and resolution of issues arising from evaluations.
• Develop, maintain, and ensure compliance with team procedures and documentation according to enterprise standards.
• Bachelor’s Degree or a comparable combination of education and experience.
• Proven analytical, project management, and organizational skills with experience in metrics, reporting, data, modeling, and/or technology initiatives.
• Demonstrated management capabilities.
• Experience in successfully managing projects and teams.
• A minimum of seven years' experience with SAS or other relevant model development software, applied to large data sets and pertinent statistical procedures.
• Capability to test, maintain, and monitor models, including threshold tuning, sensitivity analyses, and scenario testing.
• Strong written and verbal communication skills.
• Excellent interpersonal abilities and effectiveness in interacting with all management levels.
• Strong leadership and decision-making competencies.
• Ability to collaborate with cross-functional teams in a high-pressure, fast-paced, and rapidly evolving environment with colleagues across various locations.
• Strong work ethic and a commitment to expanding knowledge and technical skills.
• Capacity to manage uncertainty and adjust to changing objectives.
• Strong problem-solving abilities.
• Proficient in Microsoft Office suite.
• Master’s degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration, or another applied quantitative discipline, or equivalent education and related training (preferred).
• Five years of demonstrated experience in Anti-Money Laundering, OFAC, Fraud, and/or Compliance programs (preferred).
• Knowledge of laws, rules, and regulations affecting financial crimes programs (preferred).
• Possession of FRM designation, Certified Anti-Money Laundering Specialist (CAMS), Certified Risk Management Specialist, or other relevant professional certifications (preferred).
• Fluency in the English language is mandatory.
• 1st shift position, based in the United States of America.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Life insurance.
• Disability insurance.
• Accidental death and dismemberment coverage.
• Tax-advantaged savings accounts.
• 401(k) retirement plan.
• A minimum of 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.
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