
11 - 50 Mitarbeiter
Gegründet 1998
🛍️ eCommerce
☁️ SaaS
eCommerce • Technology • SaaS
Member Access Processing ist eine leistungsstarke Plattform, die eine Vielzahl von digitalen Werkzeugen bietet, die darauf abzielen, das Linkmanagement zu optimieren und Kundenverbindungen zu verbessern. Zu ihren Dienstleistungen gehören ein URL-Shortener, die Erstellung von QR-Codes und anpassbare Landingpages, die Unternehmen dabei unterstützen, ihr Publikum effektiver zu erreichen. Mit Analysefunktionen, die Einblicke in die Performance bieten, ermöglicht Member Access Processing Unternehmen, Nutzerinteraktionen über verschiedene Kanäle hinweg zu verfolgen und zu analysieren.
🕒 vor 13 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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11 - 50 Mitarbeiter
Gegründet 1998
🛍️ eCommerce
☁️ SaaS
eCommerce • Technology • SaaS
Member Access Processing ist eine leistungsstarke Plattform, die eine Vielzahl von digitalen Werkzeugen bietet, die darauf abzielen, das Linkmanagement zu optimieren und Kundenverbindungen zu verbessern. Zu ihren Dienstleistungen gehören ein URL-Shortener, die Erstellung von QR-Codes und anpassbare Landingpages, die Unternehmen dabei unterstützen, ihr Publikum effektiver zu erreichen. Mit Analysefunktionen, die Einblicke in die Performance bieten, ermöglicht Member Access Processing Unternehmen, Nutzerinteraktionen über verschiedene Kanäle hinweg zu verfolgen und zu analysieren.
• 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.
• 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. • 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 judgment. • 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 its impact on analysis or risk insights.
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