Director, Fraud Intelligence

  •  

O Fallon, MO

Not Specified years

Posted 238 days ago

This job is no longer available.

Overview
• Mastercard Enterprise Security Solutions (ESS) develops and delivers world-class risk, security products and services for Mastercard customers across the globe. As part of this organization, the Fraud Intelligence & Strategy Team (FIS) is responsible for:
­ - The fraud reporting platform
­ - Providing Fraud analytics and insights to Mastercard and its worldwide customers
­ - Maintenance and development of existing and new fraud prevention and monitoring data driven products/services


Role
• Analyze fraud and other transactional data sources to measure fraud and to identify its key drivers. Provide data driven fraud insights to internal and external partners.
• Discover possible future uses of Mastercard data to enhance fraud analytics and reduce fraud
• Develop analytical dashboards and data products that help internal and external users better understand fraud, compare themselves to peers and identify opportunities for improvement.
• Translate conceptual ideas into tactical experiments and test plans for rapid prototyping
• Build analytical pipelines to help Mastercard identify sources of payment card risk (i.e., at-risk merchants, at-risk cards).
• Mentor other team members to expose them to new concepts and facilitate cross-training within the team



All About You
Technical Skills
• Proven experience analyzing large amounts of data to identify trends and gain insights from it.
­ Experience with statistical analyses tools (e.g., Python, R, SAS)
­ Record of accomplishment in learning and applying new techniques and data analysis languages.
­ Experience with Python and Spark for data manipulation desired.
• Demonstrated expertise at developing analytical dashboards using QlikSense, Tableau, and similar products. Able to turn data into insights.
­ Designing the most effective charts/views to present information for clarity and proper understanding.
­ Experience preparing presentations for management/clients that present insights clearly and efficiently.
• Experience working with big-data database platforms to manipulate and extract information for analysis (e.g., Hadoop, Netezza, Oracle).
­ Experience writing complex queries to efficiently extract and manipulate large amounts of data.
­ Ability to efficiently manipulate large amounts of data to conduct analysis.
­ Experience using Hadoop clusters desired.
• Comfortable working with multiple languages and operative systems.
­ Familiarity and experience with UNIX highly desired.
Business Skills
• Subject matter expertise in payments, cards, and /or fraud or proven ability to learn and master new subject matter areas.
• Creativity and Innovation
­ Ability to think outside the box and constantly strive for more accurate and efficient ways to perform tasks.
­ Experience developing new products/services.
­ Ability to combine knowledge across multiple disciplines to solve problems.
• Strong organizational skills and motivation
­ Proven ability to develop and execute work plans and work independently towards aggressive goals and milestones.
­ Ability to multi-task and make progress towards multiple tasks in parallel.
• Strong communication and collaboration
­ Ability to clearly articulate results of analyses, in writing and verbally, and to work effectively with all levels within the organization.
­ Excellent inter-personal skills, able to work with colleagues remotely as well as in –person.
Education
• Degree in quantitative discipline preferred (e.g., Mathematics, Statistics, Operations Research, Computer Science, Decision Science or Engineering).
• Strong Interest and course-work (or demonstrated track record) in data analysis and/or visualization.

*Qualified candidates for this role may be Purchase, NY, O'Fallon, MO or even remote based.

    R-62307