Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and therefore the successful candidate for this position must meet the following requirements.
Responsibilities
- 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.
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
- Conduct AML transaction monitoring, ad-hoc investigations, and research via deep data analytics across large datasets covering multiple regions and countries.
- Extract, query, and prepare data from internal databases (e.g., Oracle, data warehouse tables, system applications) to support investigations.
- Utilize SQL and advanced Excel (Power Pivot, pivot tables, formulas) to analyze datasets that may include tens of millions of records.
- Apply data mining techniques to identify behavioral patterns, anomalies, relationships, and meaningful insights within complex data sets.
- Summarize analytical findings, trends, and red flags in clear written investigative narratives and reports.
Qualifications
- Bachelor's degree required, or equivalent data analytics, banking/financial operations, payments industry, risk management or compliance related experience.
- Familiarity with AML, BSA, USA PATRIOT Act and OFAC controls and requirements.
- ACAMS certification preferred.
Technical Skills
- Advanced Microsoft Excel skills, including Power Pivot, pivot tables, and complex formulas.
- Strong understanding of data extraction, cleaning, manipulation, and summarization methodologies.
- Hands‑on experience with SQL (or similar languages), including modifying existing queries/scripts to extract data for specific investigations.
- Proven ability to analyze large, complex datasets, identify trends, and translate data into defensible conclusions.
- Experience working with compliance, risk, or investigative data is a plus.
Personal Attributes
- Ability to proactively manage time and prioritize assignments to meet target dates and deadlines, while delivering thorough, accurate, and quality work product.
- Ability to quickly learn and apply payments industry terminology and AML‑specific data context.
- Strong attention to detail with the ability to produce accurate, high‑quality analytical reports under deadlines.
- Ability to work independently, thrive in fast‑paced and dynamic environment, and consistently meet established deadlines.
- Ability to clearly explain and defend analytical conclusions verbally and in writing.
- Ability to remain flexible in a demanding work environment while adapting rapidly changing priorities.
- Availability to work in a hybrid model, with a requirement to be in the office 3 times per week.
