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Fraud Manager Jobs in Springfield, VA (NOW HIRING)

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

... risk management, with a focus on account takeover (ATO) attacks (typically 4-8 years total ... fraud rings or large-scale ATO campaigns • Experience influencing fraud detection logic, models ...

Lendable

Fraud Investigation Associate

Arlington, VA

$80K - $120K/yr

You'll be tasked with uncovering complex fraud patterns--ranging from simple ID theft to ... Manage the end-to-end investigation of suspicious activity. Gather "Know Your Customer" (KYC ...

Recorded Future

Fraud Analyst

Washington, DC · Remote

$78K - $117K/yr

We are looking for a Fraud Analyst to join our Threat Intelligence team! What You'll Do: * Conduct research on emerging cyber threats, adversary activity, and global threat trends * Collect, analyze ...

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Fraud Manager information

See Springfield, VA salary details

$53.3K

$106.6K

$206.3K

How much do fraud manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for fraud manager in Springfield, VA is $106,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $150,900.00 per year, depending on experience, location, and employer.

What does a fraud manager do?

A Fraud Manager oversees fraud prevention, detection, and investigation efforts within an organization. They analyze transactions, implement fraud detection systems, and develop strategies to minimize financial losses. Additionally, they collaborate with law enforcement, regulatory bodies, and internal teams to ensure compliance and risk mitigation. Their role is crucial in protecting a company's assets and maintaining customer trust.

What are the key skills and qualifications needed to thrive as a fraud manager?

To thrive as a Fraud Manager, you need a strong background in data analysis, risk management, and knowledge of financial regulations, typically supported by a bachelor's degree in finance, business, or a related field. Familiarity with fraud detection software, data analytics tools, and certifications such as Certified Fraud Examiner (CFE) are highly valued. Strong problem-solving, leadership, and communication skills help in managing teams and coordinating investigations. These competencies are crucial to effectively detect, prevent, and respond to fraudulent activities within an organization.

What are some typical challenges faced by fraud managers in their daily work?

Fraud Managers often encounter challenges such as adapting to evolving fraud tactics, balancing thorough investigations with timely responses, and managing large volumes of alerts or suspicious activity. Staying current with regulatory changes and emerging financial crime trends is essential, as is collaborating with cross-functional teams including IT, compliance, and legal departments. These demands require a proactive approach and continuous professional development to ensure ongoing protection of the organization’s assets. Overcoming these challenges is both demanding and rewarding, offering opportunities for career advancement and recognition.

What job categories do people searching Fraud Manager jobs in Springfield, VA look for? The top searched job categories for Fraud Manager jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Fraud Manager jobs? Cities near Springfield, VA with the most Fraud Manager job openings:
Fraud Manager jobs near you
Infographic showing various Fraud Manager job openings in Springfield, VA as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $106,637 per year, or $51.3 per hour.

Senior Fraud Investigations Analyst

ID.me

Mclean, VA • On-site

Full-time

Re-posted 26 days ago

ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

228th of 242 rated software companies

Job description

Job Summary:
ID.me is a next-generation digital identity wallet that allows individuals to securely prove their identity online. They are seeking a Senior Fraud Investigations Analyst responsible for leading investigations into account takeover activities, identifying fraud patterns, and enhancing detection strategies through data analysis and collaboration with various teams.
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
Qualifications:
Required:
• 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:
• 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
Company:
ID.me is a digital identity wallet that allows users to securely prove their identity online. Founded in 2010, the company is headquartered in Mclean, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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