The right candidate for this role will have a minimum of three years experience conducting complex data analysis using SQL, preferably within the fraud space across ecommerce or payments. Candidates should also have a deep understanding of fraud typologies, controls, and ability to mitigate fraud risk.
Responsibilities
• Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging complex payments fraud attacks impacting financial institutions and merchants.
• Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks encompassing payments fraud, merchant fraud, transaction fraud, card testing, and local payment methods.
• Utilize analytics to identify & implement initiatives to automate manual processes and workload across the organization.
• Create visualizations, dashboards, and queries to drive visibility and oversight into organization impact, performance, and loss risks.
Who you Are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• A minimum of three years of experience conducting advanced data analysis.
• Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic & scaled controls & processes.
• Experience creating data visualizations and dashboards & presenting findings to technical and non-technical audiences, including senior leadership.
• You have the ability to drive execution on projects working in a heavily cross-functional environment.
• Creativity, a team-focused mentality, and effective problem solving skills.
• The ability to approach challenges from a user perspective while being pragmatic & solutions oriented.
Preferred qualifications
• Fraud experience in payments, e-commerce, or fintechs mitigating digital/card-not-present fraud
• Experience designing fraud/risk workflows, analyst tooling, and processes/procedural workflows
• Proficiency in data visualization tools.
• Advanced data analysis in the fraud and risk space, preferably in payments, fintech, or banking.
• Undergraduate or advanced degree in analytics, data science, or statistics
• Experience working in fast-paced and rapidly changing environments

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.