IAP Fraud Senior Data Analyst

Pay is based on a number of factors including the successful candidate’s job-related knowledge and skills, qualifications, and prior experience. Arvest offers a comprehensive suite of benefits, including a full range of health and life, financial, and wellness benefits. For more information about benefits, please visit www.arvest.com/careers/benefits .Position is Monday through Friday from 8 am to 5 pm or 9 am to 6 pm with the ability to work additional hours as project needs demand.Incumbent should be located within the Arvest 4 State Footprint (AR, KS, MO, OK)The story of Arvest is one of commitment started by our founders in 1961, with an intense dedication to focusing on our customers. We will always be active and involved members of the communities we serve, and we will always work to put the needs of our customers and associates first as we continue to fulfill our mission – People helping people find financial solutions for life.Job Title: IAP Fraud Senior Data AnalystAn Integrated Account Prevention (IAP) Fraud Senior Data Analyst at Arvest supports business objectives, key decisions, and critical insights with sophisticated analytical, reporting and visualization techniques. They interpret complex data from various sources for analysis and decision-making using analytic skills and a solid structured query language (SQL) background. They are instrumental in mentoring and collaborating with other data analysts across the company on both complex division needs and potential cross-organizational needs.What You’ll Do at Arvest: (Other duties may be assigned.)Work with division leaders to understand business needs for ongoing and project-based analytics.Support various mathematical, statistical, and simulation techniques to answer business questions within specific focus areas.Gather and analyze data; assess data validity and usability; and synthesize data into analytics datasets to support key initiatives.Collaborate with Data Stewards and Data Governance Committee on data definitions, accuracy, completeness and errors.Utilize data discovery, diagnostic, descriptive analytics and data mining techniques to analyze data; review data results to ensure accuracy; and prepare results and observations.Utilize advanced data analytics and statistical techniques to detect, analyze, and respond to fraud patterns and trends.Demonstrate advanced SQL techniques for producing datasets, views, and data mining. Continually improve data management methods; proactively suggest opportunities to avoid problems and anticipate future data needs.Code, test and maintain reports and dashboards; identify trends, patterns, and discrepancies in data; and determine additional data needed to support insight.Present findings and observations to leadership for the development of recommendations.Apply data visualization techniques to create dashboards and reports to summarize various datasets and/or identify trends and patterns; continually update and maintain the dashboards and reports.Advise and mentor junior analysts on advanced analysis techniques.Collaborate and partner across divisions with other data analysts, enterprise data science and business intelligence teams.Understands and complies with bank policy, laws, regulations, and the bank's BSA/AML Program, as applicable to the job duties. This includes but is not limited to completing compliance training and adhering to internal procedures and controls; reporting any known violations of compliance policy, laws or regulations; and reporting any suspicious customer and/or account activity.Responsibilities:Toolbox for Success:Bachelor’s Degree in Computer Science, Statistics, Operations Research, Industrial Engineering, Mathematics or related field or equivalent relevant work or military experience.5 years of combined experience in a statistical programming language, structured query language and relational databases.3 years of advanced customer or business analytics.Experience in data discovery, data modeling, ETL and data cleansing.Relevant military experience is considered for veterans and transitioning service members.Preferred:Experience with data visualization tools (Tableau).Experience applying data science and machine learning algorithms to solve business problems.Demonstrated ability and desire to learn and continually expand skill sets.Relevant experience in fraud, risk, payments or related fields.Physical Demands:Regular attendance is an essential function of the job. The associate must be able to travel occasionally by themselves within the US, possibly overnight. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.We offer competitive compensation, benefits packages, and significant professional growth.Arvest Bank is committed to providing equal opportunity to all persons regardless of race, color, race-based hairstyles and textures, religion, marital status, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability, veteran status, or any other basis, which now or in the future may be specified by law.Along with an excellent benefits package, our associates are engaged, rewarded for performance, and encouraged to grow professionally and personally. Our future is driven by our associates. If you want to be recognized for your results and empowered to reach your potential, we urge you to apply.Grade 17IPay Range: $113050 - $134245 per year