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트렌딩 기업

트렌딩 기업

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채용Mastercard

Data Analyst – AML & Financial Crime

Mastercard

Data Analyst – AML & Financial Crime

Mastercard

Mexico City, Mexico

·

On-site

·

Full-time

·

2w ago

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

Data Analyst – AML & Financial Crime

At Mastercard, we are committed to protecting our network from being used to facilitate money laundering or terrorist financing. The Global Anti-Money Laundering (AML) Financial Intelligence Unit (FIU) has implemented a customer monitoring program to meet regulatory obligations, support internal stakeholder investigations, and ensure that external constituents have robust compliance programs in place.

The FIU is responsible for large-scale data analysis, alert dispositioning, and ad-hoc investigations using AML typologies, rules, and multiple internal data sources to monitor customer behavior and support compliance investigations. The MTS (Mastercard Transaction Services) organization supports the FIU by providing advanced analytical capabilities and scalable data processes.

The Analyst, Legal Compliance role sits within MTS and reports to the Manager, Legal Compliance. This position is highly data-driven and supports the FIU by conducting AML-related activities through advanced data extraction, manipulation, and analysis as part of the transaction monitoring and investigation lifecycle. Working under general supervision, the analyst will leverage strong analytical and technical skills—particularly SQL and Excel—to analyze very large datasets, identify patterns, assess risk factors, and document findings through clear investigative narratives.

  • ROLE
  • Conduct AML transaction monitoring, ad-hoc investigations, and research through 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
  • Continuously develop technical and analytical expertise through training, self-study, and exposure to evolving AML typologies and data methodologies

All About You:

Experience:

  • Bachelor’s degree required, experience in data analysis, financial operations, payments, risk management, or compliance-related fields

  • 2–3 years of experience in data analysis, transaction monitoring, or investigative analytics (AML experience is a plus but not mandatory if data expertise is strong)

  • Familiarity with AML, BSA, USA PATRIOT Act, and OFAC regulations preferred
    ACAMS or similar certification preferred

  • Knowledge / Technical Skills (Key emphasis)

  • Advanced Microsoft Excel skills required, 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 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

  • Comfortable working independently with large volumes of data and managing multiple analytical tasks simultaneously

  • Able to clearly explain and defend analytical conclusions verbally and in writing

  • Availability to work in a hybrid model, with a requirement to be in the office 3 times per week

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.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Mastercard 소개

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

직원 수

Purchase

본사 위치

$360B

기업 가치

리뷰

3.6

10개 리뷰

워라밸

4.1

보상

3.4

문화

4.0

커리어

2.3

경영진

3.2

65%

친구에게 추천

장점

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

단점

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

연봉 정보

51개 데이터

Junior/L3

Director

Junior/L3 · Data Engineer

5개 리포트

$137,800

총 연봉

기본급

$106,000

주식

-

보너스

-

$107,900

$166,918

면접 경험

7개 면접

난이도

3.3

/ 5

소요 기간

14-28주

합격률

29%

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience