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Senior Fraud Manager Jobs in Reston, VA (NOW HIRING)

They are seeking a Senior Fraud Investigations Analyst responsible for leading investigations into ... risk management, with a focus on account takeover (ATO) attacks (typically 4-8 years total ...

Fraud Risk Manager

Silver Spring, MD · On-site

$104K - $173K/yr

Design and present fraud risk reporting to senior management, risk committees, and the Board as appropriate. * Analyze fraud trends, loss data, and industry intelligence to proactively identify and ...

Fraud Risk Manager

Silver Spring, MD · Hybrid

$104K - $173K/yr

Design and present fraud risk reporting to senior management, risk committees, and the Board as appropriate. * Analyze fraud trends, loss data, and industry intelligence to proactively identify and ...

US-MD-Silver Spring

Silver Spring, MD · Hybrid

$104K - $173K/yr

Design and present fraud risk reporting to senior management, risk committees, and the Board as appropriate. * Analyze fraud trends, loss data, and industry intelligence to proactively identify and ...

Conduct deep-dive investigations into suspected fraud rings and organized criminal activity, collaborating closely with senior leadership on high-stakes cases. * Case Management & KYC: Manage the end ...

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Senior Fraud Manager information

See Reston, VA salary details

$29.6K

$101K

$189.9K

How much do senior fraud manager jobs pay per year?

As of Jul 18, 2026, the average yearly pay for senior fraud manager in Reston, VA is $101,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Fraud Manager vs Fraud Analyst?

AspectSenior Fraud ManagerFraud Analyst
Required CredentialsBachelor's degree, experience in fraud prevention, certifications like CFE or ACFEBachelor's degree, knowledge of fraud detection tools, certifications optional
Work EnvironmentLeadership role overseeing teams, strategic planning, policy developmentData analysis, investigation, reporting
Employer & Industry UsageFinancial institutions, e-commerce, insurance companiesBanking, retail, online services

The Senior Fraud Manager focuses on leading fraud prevention strategies and managing teams, while the Fraud Analyst primarily conducts investigations and analyzes data to detect fraud. Both roles require relevant certifications and industry experience, but differ in scope and responsibilities.

How does a Senior Fraud Manager typically collaborate with other departments to prevent and address fraudulent activities?

A Senior Fraud Manager works closely with teams across the organization, such as IT, Compliance, Risk, and Customer Service, to design and implement effective fraud prevention strategies. This collaboration often involves sharing data insights, coordinating on investigations, and ensuring that everyone follows consistent protocols. Regular cross-departmental meetings and training sessions are common, allowing the Senior Fraud Manager to align efforts, quickly respond to incidents, and stay ahead of emerging threats. Building strong relationships with external partners, such as law enforcement or financial institutions, is also a key part of the role.

What does a Senior Fraud Manager do?

A Senior Fraud Manager is responsible for overseeing an organization's fraud prevention, detection, and investigation strategies. They lead teams that analyze suspicious activities, implement anti-fraud policies, and coordinate with law enforcement and regulatory bodies. Their goal is to minimize financial losses due to fraud and ensure compliance with relevant laws and industry standards. Additionally, they use data analytics and risk assessments to identify vulnerabilities and recommend process improvements.

What are the key skills and qualifications needed to thrive as a Senior Fraud Manager, and why are they important?

To thrive as a Senior Fraud Manager, you need expertise in fraud detection, risk assessment, and a background in finance or criminology, often supported by a relevant degree and several years of experience. Familiarity with fraud prevention tools, data analytics platforms, and certifications like CFE (Certified Fraud Examiner) are highly valued. Strong leadership, analytical thinking, and effective communication are essential soft skills for leading teams and influencing stakeholders. These skills are crucial for proactively identifying threats, minimizing losses, and maintaining organizational integrity.
What job categories do people searching Senior Fraud Manager jobs in Reston, VA look for? The top searched job categories for Senior Fraud Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Senior Fraud Manager jobs? Cities near Reston, VA with the most Senior Fraud Manager job openings:
Senior Fraud Investigations Analyst

Senior Fraud Investigations Analyst

ID.me

Mclean, VA

Other

Re-posted 5 days ago


ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

195th of 209 rated software companies


Job description

Senior Fraud Investigations AnalystRole Overview

ID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies.

We are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making.

This role is based out of our McLean, VA office and requires full-time in-office attendance.

Responsibilities
  • Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity
  • Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns
  • Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations
  • Independently own investigations from detection through resolution, including clear documentation and recommendations
  • Identify gaps in detection logic and contribute to improvements in rules, models, and workflows
  • Partner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality
  • Act as an escalation point for high-severity or ambiguous fraud cases
  • Develop and refine investigation playbooks and analytical approaches for ATO detection
  • Support reporting and analysis of fraud trends, detection performance, and operational metrics
  • Leverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data
Basic Qualifications
  • Bachelor's degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4-8 years total experience; candidates should have <10 years overall)
  • 2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations
  • 2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Demonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)
  • Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively
Preferred Qualifications
  • Experience at a fintech company, technology company, or reputable financial institution 
  • Strong experience analyzing organized fraud rings or large-scale ATO campaigns
  • Experience influencing fraud detection logic, models, or rule systems
  • Familiarity with AI/ML techniques applied to fraud detection and risk analysis
  • Ability to translate analytical findings into actionable improvements for product, engineering, or risk systems

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