Senior Data Scientist - Fraud Intelligence

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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.
Title and Summary
Senior Data Scientist - Fraud Intelligence
Who is Mastercard?
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.
Mastercard Security Solutions team develops and delivers world-class risk, security products and services for Mastercard customers across the globe. As part of this organization, the Fraud Intelligence team is responsible for:
o Providing fraud analytics and insights to Mastercard and its worldwide customers
o Conducting analysis of transaction level data to develop new ways of detecting fraud
o Leveraging and utilizing AI models to provide automated transaction risk decisions
o Performing reverse engineer analysis on fraud attacks to identify the scheme, MO, and payment technologies
o Collaborate with cross-functional teams to build defense strategies to protect Mastercard and clients
o Identifying new product opportunities to help partners in the payment ecosystem reduce fraud and mitigate risk from fraud and data analytics
o Maintaining and enhancing existing and new fraud prevention and monitoring data driven products/services
The Role
o Analyze and investigate fraud data to measure and report on key performance indicators to management and other internal/external stakeholders
o Proactively explore new theories that may lead to management briefings, product ideas, white papers or other thought leadership opportunities
o Develop reporting for internal stakeholders to summarize key trends and drivers to inform strategy and decision making
o Perform data pulls and development of reports/dashboards to support fraud analyses and development of fraud reduction solutions
o Extract, and analyze large data sets from different sources to support the organization's fraud analytic needs and identify emerging risks
o Support the refinement of existing methodologies and assess new approaches to proactively identify new fraud trends and support the development of product opportunities to prevent, detect, and mitigate these risks
o Support the development of tools and methodologies to identify new payment transaction types and new technologies that are introduced and gain momentum, and with the education of various stakeholders on the meaning of the identified fraud trends and recommendations
o Assist with the evaluation of new vendor/ software/ platforms to enhance the insights and dashboard for fraud analysis. Researching and staying current on advances in technology to identify internal opportunities for improvement
All About You
o Fraud/ Risk/ Cyber experience preferred. Payment card industry experience plus
o Intermediate knowledge of SQL for querying various data platforms (e.g. Oracle, Hadoop Hive/Impala/Spark, etc.)
o Intermediate knowledge of Python (Pandas, Numpy, Pyspark) to perform exploratory data analysis, data cleaning and processing
o Intermediate knowledge of Business Intelligence tools (e.g., Tableau, Power BI, etc)
o Expert knowledge of Microsoft Office, including significant experience with PowerPoint and Excel in presenting data insights
o Preferred: basic knowledge of Unix / Linux platforms (including command line, shell scripting)
o Expert knowledge of statistical analysis/ predictive modeling/ machine learning, aptitude in displaying and communicating data analysis, and desire to conduct data-driven experiments and support data-driven products
o Degree in quantitative discipline preferred (e.g., Mathematics, Statistics, Operations Research, Computer Science, Engineering)
Must-Haves:
o Strong oral and written communication skills (presentations, publishing papers, blogs)
o Curious and inquisitive mind and passion for solving problems and learning new tools, technologies, and programming languages
o High energy level; flexible, adaptive and strong collaborator
o Well planned, organized & structured to manage time & work effectively
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.