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Assistant Debit Card Fraud Analyst Jobs in Virginia

Koalafi

Fraud Investigator

Richmond, VA · On-site

$61K - $74K/yr

Fraud Investigators have several tools available to assist in their research, such as application ... Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance ...

Koalafi

Fraud Investigator

Arlington, VA

$61K - $74K/yr

Fraud Investigators have several tools available to assist in their research, such as application ... Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance ...

Koalafi

Fraud Investigator

Richmond, VA · On-site

$61K - $74K/yr

Fraud Investigators have several tools available to assist in their research, such as application ... Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance ...

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Assistant Debit Card Fraud Analyst information

What does an assistant debit card fraud analyst do?

An Assistant Debit Card Fraud Analyst helps monitor, detect, and investigate suspicious transactions on debit card accounts to prevent and minimize financial losses due to fraud. Their duties often include analyzing transaction data, reviewing alerts, assisting with case documentation, and communicating with customers or other departments to resolve issues. They work under the supervision of senior analysts and use specialized software tools to identify patterns of fraudulent activity. This role is essential for maintaining the security and trust of a financial institution’s customers.

What are the key skills and qualifications needed to thrive as an assistant debit card fraud analyst?

To thrive as an Assistant Debit Card Fraud Analyst, you need strong analytical skills, attention to detail, and typically a background in finance, accounting, or a related field. Familiarity with fraud detection software, banking systems, and data analysis tools such as Excel or SQL is important, and certifications like Certified Fraud Examiner (CFE) can be advantageous. Excellent communication, critical thinking, and problem-solving abilities help you collaborate with team members and handle sensitive investigations effectively. These skills and qualities are essential to accurately identify and mitigate fraudulent activity, protect customers, and minimize financial losses for the organization.

What are some common challenges faced by assistant debit card fraud analysts, and how can they be overcome?

Assistant Debit Card Fraud Analysts often face the challenge of quickly identifying and investigating suspicious transactions while minimizing disruption to legitimate cardholders. Balancing efficiency with accuracy is crucial, as false positives can frustrate customers and false negatives can result in loss. Staying updated on the latest fraud techniques and collaborating closely with team members in risk management and customer service can help overcome these challenges. Regular training and use of advanced fraud detection tools also play a key role in maintaining effectiveness in this role.

What are the most commonly searched types of Debit Card Fraud Analyst jobs in Virginia?

The most popular types of Debit Card Fraud Analyst jobs in Virginia are:

What are popular job titles related to Assistant Debit Card Fraud Analyst jobs in Virginia?

For Assistant Debit Card Fraud Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Assistant Debit Card Fraud Analyst jobs in Virginia look for?

The top searched job categories for Assistant Debit Card Fraud Analyst jobs in Virginia are:

What cities in Virginia are hiring for Assistant Debit Card Fraud Analyst jobs?

Cities in Virginia with the most Assistant Debit Card Fraud Analyst job openings:

Assistant Debit Card Fraud Analyst jobs near you
Infographic showing various Assistant Debit Card Fraud Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Staff - Fraud Analytics Consultant (Senior Consultant)

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Active Public Trust
What You Will Do:
The Staff Fraud Analytics Consultant will perform assigned fraud analytics, data analysis, reporting, and investigative support activities as part of a multidisciplinary team. This position will apply standard professional concepts and methodologies to solve structured analytical problems, work independently on routine assignments, and receive general instruction and review for new or more complex work.
  • Analyze transaction logs, application activity, user behavior, and fraud-related data to identify trends, anomalies, patterns, correlations, and potentially suspicious activity.

  • Apply established analytical concepts and methodologies to support fraud prevention, detection, response, and continuous enhancement activities.

  • Support execution and documentation of existing fraud indicators, detection logic, business rules, and analytical processes.

  • Perform data mining, pattern recognition, behavioral analysis, and basic statistical analysis to support operational decision-making.

  • Assist with data preparation, data quality review, data integration, and extract, transform, load activities supporting analytics and reporting.

  • Support investigative and forensic analysis of structured and unstructured data to identify trends, root causes, and potential indicators requiring further review.

  • Support stakeholder meetings by gathering information, documenting requirements, and clarifying data quality, reporting, or analytical needs.

  • Prepare analytical reports, dashboards, briefings, presentations, executive summaries, and technical documentation for technical and non-technical stakeholders.

  • Document methodologies, findings, procedures, assumptions, and work products to support quality control, knowledge sharing, and operational continuity.

  • Work onsite at the client site in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

What You Will Need:
  • Ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field.

  • THREE (3) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data analysis, data science, business intelligence, investigations, incident response, or a related technical discipline.

  • Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using standard analytical techniques.

  • Experience developing reports, dashboards, visualizations, briefings, or analytical products that support operational or business decision-making.

  • Experience using SQL or data analysis tools to query, manipulate, and analyze data.

  • Experience supporting data integration, data preparation, extract, transform, load activities, or data quality initiatives.

  • Experience communicating technical findings clearly to technical and non-technical audiences.
  • Experience working independently on routine assignments while contributing to cross-functional project teams.
  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

What Would Be Nice To Have:
  • Experience supporting fraud analytics, cybersecurity, financial crime, digital identity, insider threat, or risk analytics programs.

  • Experience supporting development, testing, or validation of predictive models, fraud indicators, or analytical techniques.

  • Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies.

  • Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.

  • Experience supporting link analysis, behavioral analytics, graph analytics, network analytics, text mining, or data visualization.

  • Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.

  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.

  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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