Associate Fraud Event Analyst

Come build the next-gen fintech at Early Warning, network operator of Zelle®, where we’re relentlessly focused on empowering prosperity in all its forms. From fast money movement for over 100 million people who can access Zelle® directly through their banking app to new account opening and beyond – we make a difference in the lives of consumers and businesses every day and enable them to live their best financial lives. And we’re only getting started. With new state-of the-art offices in Scottsdale, AZ (Headquarters) and Chicago, IL – plus a growing presence in San Francisco – we’re entering our next big chapter. We focus all hiring efforts in a few states and within driving distance of an office location to enable in-person collaboration when and where possible. Priority hiring locations are Scottsdale, AZ, Illinois, NY tri-state metro area (New Jersey, New York and Connecticut) and San Francisco, CA. On exception we will hire in secondary locations such as District of Columbia, Florida, Georgia, Maryland, Nevada, North Carolina, South Carolina, Texas and Virginia. We are not actively recruiting in Colorado, Rhode Island or Washington. People matter to us, so we think our best work is done when we’re together, in-person. From informal interactions, to sharing ideas, to mentoring and beyond. We also believe in workplace flexibility and empowering teams to determine the rhythm of work to create an inclusive culture. Through the power of innovative collaboration, we offer hybrid and (when necessary) virtual (“remote”) workplace models. Join us and make your mark on what’s next in fintech. *Applicants must be authorized to work for any employer in the United States. We are unable to sponsor an employment Visa for this position. Overall Purpose: This position provides support to the Fraud Risk Management Analytics team while at the same time learning data mining, data visualization and programming from an experienced Fraud Data Analyst. Assist senior technical and business leaders in delivering fact-based insights to inform and influence change across the organization and within the participating financial institutions. This includes creating and executing analyses at identifying fraud methodologies, points of compromise, root cause evaluation and associated observed volumes, financial and operational impacts with associated recommended remediation paths. This position will be accountable in executing ongoing management of a compromised credential discipline to source, link and control the risk from exposed data. Essential Functions: Produces standard and ad hoc analytic reports. Performs basic data analysis tasks, which include programming data transformations, interpreting results and investigating root causes to find answers to how fraud is committed with Early Warning’s flagship payment product, Zelle. Utilize Zelle Network’s payment data, customer demographic data and customer behavior data using various components and structures of R programming, Python, SAS programming, SQL querying, and Hadoop programming in a time efficient manner to recommend strategies to reduce fraud loss. Partner with internal teams to recommend solutions to convey financial impact, operational impact, and feasibility of solution implementation. Effectively articulate actions recommended, based on insights derived from moderately complex analytics. Expands and develops knowledge with exposure to a variety of roles related to area of study. Participates on work teams, contributes to projects and initiatives, and performs various tasks as needed by the assigned unit/department. Performs research and prepares reports on assigned topics and /or projects when required. Works as a member of a team providing service to internal and external customers. Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data. The above job description is a summary of job responsibilities and is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform tasks and other duties as assigned by their manager. Minimum Qualifications: Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience. A minimum of 3 months data science, engineering, mathematics, or related work/ intern/ course experience is required. SAS, Python, SQL or R programming training or experience. Ability and adaptability to work on multiple projects concurrently, manipulate large data sets and produce business-relevant results. Ability to effectively communicate findings from complex analyses to non-technical audiences. Ability to communicate with various levels of employees within the department and proven technical and analytical skills. Willingness to troubleshoot system/data issues hindering the analytics environment functionality. Must be US Citizen or US National only. Background and drug screen. Preferred Qualifications: Master’s/PhD in Mathematics, Statistics, Computer Science, Engineering, Operational Research, or related field preferred. SAS/SQL or comparable analytic coding certification Experience with two or more financial institutions in fraud risk management Experience in both consumer and commercial banking applications Additional related education and/or experience preferred Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Physical Requirements Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation. Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Some of the Ways We Prioritize Your Health and Happiness Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses. 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility. 12 weeks of Paid Parental Leave Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work. And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. *Unlimited Time Off available to regular, full-time exempt roles only. Our team can share more during the interview process! Early Warning Services is an Equal Opportunity employer. All qualified applicants and employees will receive consideration for employment without regard to race, color, religion, religious creed, ethnicity, ancestry, national origin, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, citizenship, ancestry, disability, veteran status, genetic information or any other characteristic protected by law. CURRENT EMPLOYEES: Internal applicants will need to apply for open positions through their Workday account. Click on the "Careers" worklet and complete the internal application. For questions, please contact the recruiter listed on the open position. Early Warning Services® delivers innovative payment and risk solutions to financial institutions nationwide. For over 25 years, Early Warning has been a leader in technology that helps protect and advance the financial system. We serve a diverse network of approximately 2,500 financial institutions, government entities and payment companies. Our product solutions enable real-time funds availability for a variety of payment types through our payments network. We extend careful consideration for each and every application, without regard to race, color, religion, ancestry, national origin, sex (including pregnancy), age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other characteristic protected by law. Equal employment opportunity (EEO) is the law. View supplemental EEO is the law poster. Early Warning has developed and maintains a written AAP and upholds pay transparency nondiscrimination Privacy Notice Effective: December 28, 2022 This privacy notice is intended to inform California residents of the personal information we collect, how it’s used and disclosed, and the rights you have in regard to such information. Click below for the full privacy notice https://www.earlywarning.com/privacy-notice-employment-applicants