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**Onsite Requirement: Little Rock, AR (in-office full time)**
We are seeking a highly analytical, intellectually curious Data Analytics professional who thrives on uncovering the “why” behind complex problems. This position plays a key role in the department’s goal of identifying and measuring risk by using analytical tools to find anomalies, trends, and gaps in the bank’s dual risk rating system. Your insights will directly influence risk strategy, policy decisions, and process optimization across the organization.
Essential Duties and Responsibilities
Conduct comprehensive root cause analyses on loan data to identify drivers behind changes in risk profiles, gaps, and anomalies using the Bank’s Enterprise Data Warehouse and tools such as SQL, Excel, and/or Python.
Perform reconciliations and data validation between the general ledger, source systems, models, and reports to ensure completeness and accuracy.
Collaborate with stakeholders across Portfolio Management, Underwriting, Loan Review, Bankers, and Loan Operations to understand current procedures and chart a new path forward for any changes.
Ensures all departmental documents and activities are performed in compliance with applicable laws, regulations, policies and procedures as applicable to this position, including completion of required compliance training.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Required Education and/or Experience
Bachelor’s degree in Analytics, Finance, Economics, Statistics, Mathematics, Data Science, or a related field.
Ability to read, write, and comprehend simple instructions, procedures, business correspondence, reports, and memorandums.
What We’re Looking For (Beyond the Resume)
Equal Employment Opportunity Information: Simmons First National Corporation and its subsidiaries are committed to a policy of equal employment with respect to a person's race, color, religion, sex, ancestry, sexual orientation, gender identity, national origin, covered veterans, military status, physical or mental disability or any other legally protected classifications.