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Senior Fraud Analyst Jobs in Silver Spring, MD (NOW HIRING)

They are seeking a Senior Fraud Investigations Analyst responsible for leading investigations into account takeover activities, identifying fraud patterns, and enhancing detection strategies through ...

Senior Fraud Investigations Analyst Role Overview ID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is ...

Senior Fraud Specialist

Baltimore, MD · On-site

$65K - $75K/yr

As a Senior Fraud Specialist, you serve as a subject-matter expert in identifying, investigating ... This role requires advanced analytical skills, sound judgment, and the ability to operate ...

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 ...

Fraud Senior

Mclean, VA

$90K - $134K/yr

If so, please apply to the Fraud Senior position and work in conjunction with Single Family (SF ... Analyze investigative progress, consistently reassessing priorities, leads, and direction in ...

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Senior Fraud Analyst information

See Silver Spring, MD salary details

$55.3K

$113.6K

$147.3K

How much do senior fraud analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior fraud analyst in Silver Spring, MD is $113,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $141,600.00 per year, depending on experience, location, and employer.

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

AspectSenior Fraud AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or ACFE often preferredSimilar credentials, often with CFE or related certifications
Work EnvironmentAnalyzing data, developing fraud detection strategies, working with teamsConducting investigations, interviewing, collecting evidence
Employer & IndustryFinancial institutions, e-commerce, insurance companiesLaw enforcement agencies, financial institutions, corporate security
Search & Comparison IntentUnderstanding roles, responsibilities, and qualificationsDifferences in investigative scope and daily tasks

Senior Fraud Analysts focus on analyzing data and developing fraud prevention strategies, while Fraud Investigators conduct in-depth investigations and gather evidence. Both roles require similar credentials and are common in financial and corporate sectors, but their daily tasks and focus areas differ.

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

To thrive as a Senior Fraud Analyst, you need a solid background in data analysis, risk assessment, and fraud detection, typically supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, data visualization tools, and knowledge of regulatory compliance systems like AML and KYC are essential. Strong analytical thinking, attention to detail, and effective communication skills help you identify trends and collaborate with internal teams. These skills are vital for accurately detecting fraudulent activity, minimizing financial losses, and ensuring regulatory compliance.

What does a Senior Fraud Analyst do?

A Senior Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization. They analyze complex data to identify suspicious patterns, develop strategies to mitigate risks, and work closely with other departments such as compliance, legal, and law enforcement. Senior Fraud Analysts often lead and mentor junior analysts, manage high-profile cases, and help implement new technologies or processes to enhance fraud detection capabilities. Their expertise ensures that the organization minimizes financial losses and maintains integrity in its operations.

What are some of the main challenges Senior Fraud Analysts face when working with cross-functional teams?

Senior Fraud Analysts often collaborate with departments like IT, customer service, and legal to investigate and prevent fraudulent activities. A common challenge in these collaborations is aligning priorities, as each team may have different objectives and timelines. Clear communication and a proactive approach to sharing findings and recommendations are essential to ensure everyone is working toward the same goals. Developing strong relationships across teams can make it easier to implement effective anti-fraud strategies and respond quickly to emerging threats.
What are the most commonly searched types of Fraud Analyst jobs in Silver Spring, MD? The most popular types of Fraud Analyst jobs in Silver Spring, MD are:
What are popular job titles related to Senior Fraud Analyst jobs in Silver Spring, MD? For Senior Fraud Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Senior Fraud Analyst jobs in Silver Spring, MD look for? The top searched job categories for Senior Fraud Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Senior Fraud Analyst jobs? Cities near Silver Spring, MD with the most Senior Fraud Analyst job openings:
Infographic showing various Senior Fraud Analyst job openings in Silver Spring, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,557 per year, or $54.6 per hour.
Senior Fraud Investigations Analyst

Senior Fraud Investigations Analyst

ID.me

Mclean, VA

Other

Re-posted 16 days ago


ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

232nd of 246 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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