Job Purpose & Scope Responsible for collating, automating, and maintaining all BSA/Fraud Analytics analytical functions and initiatives in support of AML, Fraud, KYC, and OFAC processes. Develops tailored dashboards and visualizations to empower end-users and facilitate operations and business functions. Advances current processes, including the BSA Risk Assessment, Fraud Risk Management Working Group, and works with stakeholders to identify and quantify business problems and apply a customized solution. Essential Job Functions Works with BSA/Fraud Analytics management, BSA Administration, Fraud Risk Management, and Quantitative Modeling Team (QMT) in the pursuit of strengthening, maintaining, and presenting analytics in support of BSA and Fraud initiatives at Bank OZK. Collaborates with QMT to improve the efficacy of AML, Fraud, KYC, and OFAC models, and create an optimization process document to assist in the clarity and automation of these exercises. Collaborates with BSA/Fraud Analytics management to effectively communicate processes, methodologies, and findings to Bank senior or executive management, federal regulators, auditors, and assessors of model risk. Analyzes risk inputs and conducts research and analysis of the performance of existing strategies while working to ensure adherence to regulatory based initiatives, procedural alignment with BSA and Fraud policies, and a strong control environment. Executes a hands-on approach to data mining, data visualization, documentation of requirements and processes, and design of process flow diagrams. Works with QMT, BSA/Fraud Analytics management, BSA Administration, and Fraud Risk management on False Positive reduction exercises. Manages the prioritization of analytical endeavors that are underway in the BSA/Fraud Analytics function. Provides BSA and Fraud analytical support to various business lines to develop robust methodology, execution, and evaluation framework to assess BSA or Fraud risks. Leverages expert business/analytical knowledge to participate in or lead discussions with cross functional teams to understand complex business objectives and develop solutions. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. Integrates and transforms disparate data sources and determines the appropriate data hygiene techniques to apply. Develops thorough documentation for relevant tasks and responsibilities. Understands and adopts emerging technologies to enhance BSA/Fraud Analytics capabilities. Participates in projects related to system enhancements and implementations as a significant stakeholder within BSA/Fraud Analytics. May manage and mentor less senior employees on the BSA/Fraud Analytics team. Regularly exercises discretion and judgment in the performance of essential job functions. Maintains good punctuality and attendance to work. Follows Bank policy, procedures, and guidelines. Knowledge, Skills & Abilities Knowledge of AML, Fraud, KYC, and OFAC principles to enable development of meaningful metrics to support program development and enhancement. Ability to demonstrate forward-thinking and see beyond own tasks to work toward developing long-term efficiencies. Ability to apply general knowledge of BSA or Fraud risks, frameworks, program executions, and data flows into strategic initiatives. Ability to demonstrate awareness of multiple metrics, analytics, and initiatives to ensure data lineage and application is consistent across diverse reporting. Ability to work independently without supervision. Ability to communicate effectively, both verbally and in writing. Ability to develop effective presentations for various levels and audiences within a financial services organization. Skill in using computer and Microsoft Office, including Word, Excel, PowerPoint, and Outlook. Basic Qualifications Bachelor’s degree in a business, quantitative, or analytics field, required. 7+ years of work experience in analyzing data for patterns, trends, threats, and opportunities, including developing recommendations based on observations, required. 3+ years of prior experience using/applying analytical tools (i.e., R, SAS) and data visualization tools (i.e., Power BI, Tableau, Micro Strategy), required. Prior financial institution work experience, preferred. BSA/AML or Fraud Certification, preferred. Job Expectations Job Expectations: Operate customary equipment and technology used in a business environment, with or without accommodation. Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time. #DNP EEO Statement Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.