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Debit Card Fraud Analyst Jobs (NOW HIRING)

Nymbus, Inc.

Fraud Analyst

Jacksonville, FL · Remote

The Fraud Analyst is part of the Risk & Compliance team within Nymbus. The Fraud Analyst is ... to Debit card, Credit card, ACH, P2P and Bill Payments using a variety of systems. ● Analyze ...

Nymbus, Inc.

Fraud Analyst

The Fraud Analyst is part of the Risk & Compliance team within Nymbus. The Fraud Analyst is ... to Debit card, Credit card, ACH, P2P and Bill Payments using a variety of systems. • Analyze ...

Q2

Senior Fraud Analyst

Charlotte, NC · On-site

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

Q2

Senior Fraud Analyst

Austin, TX · On-site

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

Q2

Senior Fraud Analyst

Austin, TX

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

AmFirst

Card Specialist

Birmingham, AL · On-site

$20.25 - $26.75/hr

... Fraud Analyst for rule creation or adjustments. * Prepares and balances related reports and ... Coordinate credit and debit card settlements according to established policies and procedures.

Q2

Senior Fraud Analyst

Lincoln, NE · On-site

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

Q2

Senior Fraud Analyst

Des Moines, IA · On-site

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

Q2

Senior Fraud Analyst

Lincoln, NE · On-site

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

Q2

Senior Fraud Analyst

Cary, NC

SUMMARY Q2 is seeking a Senior Fraud Analyst. This role is responsible for identifying ... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ...

Q2 Software, Inc.

Senior Fraud Analyst

Lincoln, NE · On-site

... third-party debit & prepaid card fraudulent activity aiming to safeguard stakeholders from ... analytics, and reporting • Own documentation efforts around fraud product and strategies we ...

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Debit Card Fraud Analyst information

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How much do debit card fraud analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for debit card fraud analyst in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What is a Debit Card Fraud Analyst job?

A Debit Card Fraud Analyst is responsible for detecting and preventing fraudulent transactions on debit cards. They analyze transaction patterns, investigate suspicious activity, and take action to minimize financial losses. Analysts use fraud detection software, customer reports, and banking regulations to assess risks. They may also contact customers to verify transactions and work with law enforcement if necessary. Their goal is to protect both customers and financial institutions from fraudulent activities.

What are the key skills and qualifications needed to thrive in the Debit Card Fraud Analyst position, and why are they important?

To thrive as a Debit Card Fraud Analyst, you need strong analytical skills, attention to detail, and experience with fraud detection or financial services, often supported by a relevant degree. Familiarity with fraud management software, transaction monitoring systems, and knowledge of industry regulations such as PCI DSS is crucial. Excellent problem-solving abilities, communication skills, and the capacity to work well under pressure further distinguish top performers. These skills are vital for accurately identifying and preventing fraudulent activity while maintaining customer trust and minimizing financial losses.

What does a typical day look like for a Debit Card Fraud Analyst?

As a Debit Card Fraud Analyst, your typical day will involve reviewing flagged transactions, analyzing account activity for suspicious patterns, and investigating potential fraud cases. You'll use specialized software tools to monitor real-time alerts and collaborate closely with customer service teams, compliance officers, and IT specialists to resolve issues quickly. You may also be responsible for documenting findings, recommending process improvements, and keeping up with the latest fraud trends. This role requires the ability to balance investigative work with efficient decision-making, often in a fast-paced, team-oriented environment.

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Debit Card Fraud Analyst jobs near you

Fraud Data Analyst

Cloud think technologies LLC

Bodega Bay, CA • On-site

Contractor

Re-posted 19 days ago

Job description

Must have: Development to design and implement fraud monitoring solutions

and fraud prevention strategies.
◦ Analyze large datasets to identify trends, patterns, and anomalies related to gift
card fraud.
◦ Develop and maintain dashboards and reports that monitors suspicious activities
trends.
◦ Create and track fraud KPIs to measure the effectiveness of fraud prevention
strategies.
◦ Proactively identify emerging gift card fraud schemes and develop strategies to
mitigate them.
◦ Collaborate with other fraud analysts, data scientists, and engineers to develop
fraud prevention tools, systems and products."

Overview

We are seeking an experienced Fraud Data Analyst specializing in gift card fraud to join our team in the Bay Area. In this critical role, you will leverage your advanced PySpark expertise (6–9 years) and strong analytical skills to develop and implement robust fraud monitoring solutions that protect our customer's business. You will work cross-functionally with Fraud, Legal, Operations, Product, and Business Development teams to proactively detect, analyze, and mitigate complex gift card fraud schemes.

Key Responsibilities

  • Collaborate with cross-functional teams including Fraud, Legal, Operations, Product, and Business Development to design and implement scalable fraud monitoring solutions and dynamic fraud prevention strategies.
  • Analyze large-scale transactional and behavioral datasets using advanced PySpark to uncover trends, patterns, and emerging anomalies related to gift card fraud.
  • Develop and maintain insightful dashboards and regular reports to monitor suspicious activity trends and fraudulent behaviors.
  • Create and track fraud-specific Key Performance Indicators (KPIs) to measure and optimize the effectiveness of fraud prevention initiatives.
  • Proactively identify and assess new and emerging gift card fraud schemes, recommending and executing risk mitigation strategies.
  • Partner with other fraud analysts, data scientists, and engineers to build and refine fraud prevention tools, machine learning models, and monitoring systems.
  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Advanced-level proficiency in PySpark (6–9 years of hands-on experience), including large-scale data processing and ETL workflows.
  • Demonstrated experience in fraud detection, ideally with a focus on gift card fraud.
  • Strong skills in data analysis, pattern recognition, and statistical modeling.
  • Professional experience collaborating with cross-functional business and technical teams.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Proficiency in SQL and Hadoop for data extraction, manipulation, and analytics.
  • Experience developing dashboards and reports using BI tools (e.g., Tableau, PowerBI).
  • Familiarity with building or evaluating machine learning models for fraud detection.

Description:

The services You will provide the Deloitte project team: As a Data Analytics Contractor, you will analyze and interpret complex data sets to provide actionable insights and support decision-making processes. Collect, process, and analyze large datasets to identify trends, patterns, and insights. Develop and maintain data models, dashboards, and reports to visualize data findings. Utilize statistical and analytical tools to perform data analysis and generate insights. Collaborate with project teams to understand data requirements and deliver relevant analytical solutions. Ensure data accuracy and integrity by performing data validation and quality checks.

Enable Skills-Based Hiring

No

Primary Skill Required for the Role

 

Pyspark

Level Required for Primary Skill

 

Advanced (6-9 years’ experience)

Additional Details for Role

 

Data Analyst
"◦ Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product
and Business