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Specialist, Card Fraud Strategy Analyst

Mastercard

Specialist, Card Fraud Strategy Analyst

Mastercard

Bogota, Colombia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Comprehensive health, dental, and vision insurance

Team events and activities

Competitive salary and equity package

Generous paid time off and holidays

Flexible work arrangements

Learning

Healthcare

Equity

Flexible Hours

Required Skills

TypeScript

JavaScript

Python

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

Specialist, Card Fraud Strategy Analyst

Overview:

We are seeking a motivated and detail-oriented Specialist to support our Card Fraud Strategy team. In this role, you will contribute to fraud analytics efforts, support the development of detection rules, and assist in identifying trends in transactional data. This position offers an excellent opportunity to grow your skills and knowledge in a high-impact area of fraud prevention.

  • Role
  • Perform initial analysis of transactional data to support the identification of fraud patterns and anomalies
  • Leverage visualizations and dashboards (Qlik, Power BI, Domo) to track fraud trends
  • Contribute to the documentation and review of fraud detection rules
  • Support the monitoring and reporting of fraud KPIs and rule performance
  • Collaborate with team members to gather data, run queries, and validate rule changes
  • Research emerging fraud schemes and assist in compiling insights
  • Prepare training and support materials for new fraud initiatives
  • All About You
  • Bachelor's degree in a relevant field or equivalent experience
  • 1-2 years of experience in analytics with a focus on card fraud prevention from an issuer perspective, including exposure to risk management strategies, transaction monitoring, and fraud pattern analysis
  • Basic knowledge of SQL and Python for data querying and manipulation
  • Familiarity with card fraud metrics and visualization tools is a plus
  • Strong attention to detail, curiosity, and eagerness to learn
  • Fluent in English, effective communicator with good organization and time management skills

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.

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

4.1

15 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.5

Career

3.0

Management

3.0

65%

Recommend to a Friend

Pros

Good work-life balance reputation

Competitive compensation packages

Strong benefits and perks

Cons

Recent layoffs and job insecurity

Limited negotiation flexibility on salary

No RSUs for some positions

Salary Ranges

32 data points

Junior/L3

Director

Junior/L3 · Data Engineer

5 reports

$137,800

total / year

Base

$106,000

Stock

-

Bonus

-

$107,900

$166,918

Interview Experience

7 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience