OVERVIEW Member Access Processing (MAP) is a dynamic and expanding organization dedicated to empowering clients with innovative payment solutions and fraud prevention strategies. We are currently seeking a Sr. Defense Analyst to join our team and play a pivotal role in driving client success and organizational growth. As a Sr. Defense Analyst, you will serve as a strategic partner to MAP clients, helping them proactively manage and mitigate fraud risks. You will provide expert guidance on fraud prevention strategies, evaluate and optimize fraud rules, and deliver real-time monitoring support. This role requires close collaboration with both internal teams and external stakeholders to develop tailored solutions that address evolving fraud threats. The ideal candidate is experienced in payments fraud and risk, bringing over five years of experience—ideally gained within networks, processors, or financial institutions. They possess a deep understanding of payments risk management, regulatory frameworks, and emerging industry trends. With a proven track record of mitigating risk in complex, global environments, they thrive in cross-functional settings and are adept at engaging diverse stakeholders. Driven by results and guided by intellectual curiosity, this candidate combines analytical rigor with sound judgment. They are data-savvy, decisive, and consistently deliver strategic insights that enhance organizational resilience and performance. ROLE AND RESPONSIBILITIES Leverage internal and third-party tools to detect and analyze fraudulent activities across multiple channels, ensuring timely and effective mitigation of significant findings. Analyze available datasets to identify trends and patterns, detect anomalies, and implement rule strategies to mitigate future fraud losses. Transform data into actionable information for decision makers to minimize cardholder and portfolio impact through MAP developed alerting or Visa DPS fraud tools. Support MAP Defense data standards and offer recommendations for current and future needs. Develop and deliver high quality actionable Defense Intelligence products based on all source data. Demonstrate understanding of the impact of analytics solutions and data on MAP business operations and develop plans accordingly. Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels, behavioral scores, and financial information. Utilize Visa Data Manager’s data, analytic capabilities and industry expertise to develop and implement fraud rules on behalf of MAP clients. Provide on call rural consultation support to MAP clients. Provide monthly fraud performance review to MAP clients. Develop and continuously improve processes for evaluating our clients’ fraud and dispute experience QUALIFICATIONS AND EDUCATION REQUIREMENTS: Bachelor’s degree in computer science, computer engineering, cybersecurity, or related discipline preferred. Ability to work independently, solve problems, and effectively communicate with clients, vendors, and staff. Intermediate Excel and Power Point skills required. Working knowledge of Power BI Pro dashboards and User Acceptance Testing PREFERRED SKILLS Proficient understanding and knowledge of financial service industry, preferably credit unions and payments industry. Familiarity with Visa DPS products and applications preferred. Proven ability to translate business/customer questions and problems into working hypothesis. Ability to communicate effectively in both verbal and written formats and give presentations utilizing various audiovisual support aids; ability to communicate effectively with both technical and nontechnical audiences. Analytical professional with a minimum of five (5) years of experience in Payments industry Knowledge of transactions, system processing, transactions and overall transaction processing. Demonstrated self-starter with proven ability to execute work with minimal supervision. Ability to exercise discretion, maintain confidentiality of materials, and good judgement. Participate in a rotating, alternate weekend on-call schedule to provide fraud monitoring coverage, respond to alerts, and support time-sensitive fraud mitigation activities as part of a shared coverage model. Working knowledge of data and it’s impact on analysis or risk insights.