Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. The Americas Startegy and Operation team is looking for a Risk Management/Data Scientist candidate to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Risk Management: We are looking for Analyst within the Strategy and Operation team to support Enterprise Risk Management in NAM market supporting the application and compliance of operational risk management processes, policies and practices. The main responsibilities would be: • Maintain the cross-functional initiatives to track on risk causes, impact, mitigation and action plans of existing and potential regional risks • Participates in the risk management process, including documenting, reviewing and updating systems on a regular basis • Supports special projects as requested; provides ad-hoc support to senior management • Performs, updates and maintains existing access and reports from the customer risk management system Data Scientist: As a data scientist on our team, you will have the opportunity to create high-performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data. You will have the opportunity to develop and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services. Develop data-driven innovative analytical solutions and identify opportunities to support business needs in a quantitative manner and facilitate informed recommendations/decisions by performing jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark Provide insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint Adhere to hybrid work policy (Hybrid work is defined as 3 or more days per week on average working in the assigned Mastercard office)
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees