Senior Data Engineer/ Data Analyst - Software Engineering

<p><span><b>Our Purpose</b></span></p><p></p><p>Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build <span>a sustainable economy</span> where everyone can prosper. We support a wide range of digital payments choices, making <span>transactions secure,</span> simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</p><p></p><p><b>Title and Summary</b></p><h3></h3><p></p>Senior Data Engineer/ Data Analyst - Software Engineering<h3></h3><p></p>Who is Mastercard?<br/>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.<br/>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.<br/>The Cyber Security Services team develops new capabilities for Mass Attack pillar, which is an exciting and fast paced team with investment to offer globally scalable products to detect and report on weaknesses in payments systems and transactions, to prevent fraud for Issuers, Acquirers and Merchants.<br/>Our platform is able to prevent and detect fraud through different applications from evaluating merchants vulnerabilities to scanning dark web for exchange of payment data. <br/><br/> <br/>Overview<br/>The CSS Engineering team is looking for a talented Data Analyst / Engineer to support securing the payment ecosystem. The ideal candidate will be responsible for reviewing large sets of transactional data to identify trends, behaviors, and outliers in the payment space. This role requires a strong analytical mindset, attention to detail, and the ability to work collaboratively with various departments to ensure data integrity and accuracy. The candidate will support the business in defining rules to identify anomalies and provide insights that drive strategic decisions.<br/><br/>Role<br/>· Analyze and interpret large datasets to identify patterns, trends, and anomalies.<br/>· Develop and implement data models and algorithms to detect outliers and unusual behaviors.<br/>· Collaborate with business stakeholders to define and refine rules for anomaly detection.<br/>· Analyze product requirements for data analysis and provide feedback on capabilities and effectiveness of solutions.<br/>· Ensure data quality and consistency across different data sources.<br/>· Provide insights and recommendations based on data analysis to support business decisions.<br/>· Create and maintain documentation for data processes and analysis.<br/>· Provide technical expertise for fraud prediction applications, which include mission-critical, high-volume transaction processing systems.<br/>· Support model development via business logic understanding and technical integration into a production environment.<br/>· Develop and implement business engineering in an agile environment.<br/>· Validate rule changes against transaction data and ensure quality is enforced.<br/><br/><br/>All About You<br/>The ideal candidate for this position should:<br/>· Have a bachelor’s degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent work experience. <br/>· Have current experience in delivering technical solutions and capabilities to meet business and product strategies, including a focused relationship with technical and business providers. Financial Services or Payments experience a plus. <br/>· Direct experience with the development of custom software applications and services across a variety of technology selections and frameworks. <br/>· Experience with software engineering concepts and methodologies, including agile lifecycles, testing automation, and behavior-driven development. <br/>· Strong proficiency in SQL is required; experience with NoSQL and other Database Management Systems is desirable.<br/>· Strong background in object-oriented architecture, design, and development. Direct Java experience preferred. Experience with multiple OO languages. <br/>· Experience with data visualization tools and techniques.<br/>· High-energy and detail-oriented, with the ability to function under pressure in an independent environment with a high degree of initiative and self-motivation to drive results; good at organizing and planning for several concurrent initiatives with conflicting needs.<br/>· Interested in building solutions that