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Senior Fraud Risk Analyst Jobs in Silver Spring, MD

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

Senior Fraud Investigations Analyst Role Overview ID.me is looking for a Senior Fraud ... Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site +1

Senior Fraud Investigations Analyst Role Overview ID.me is looking for a Senior Fraud ... Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality ...

EagleBank

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 ...

EagleBank

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 ...

CFG Bank

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 ... analytical skills, sound judgment, and the ability to operate independently in a fast-paced, risk ...

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Senior Fraud Risk Analyst information

See Silver Spring, MD salary details

$55.3K

$113.6K

$147.3K

How much do senior fraud risk analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for senior fraud risk 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 are the key skills and qualifications needed to thrive as a Senior Fraud Risk Analyst, and why are they important?

To thrive as a Senior Fraud Risk Analyst, you need expertise in fraud detection, risk assessment, data analysis, and a bachelor's degree in finance, business, or a related field. Familiarity with anti-fraud software, data analytics tools like SQL or Python, and relevant certifications such as CFE (Certified Fraud Examiner) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts spot patterns and present findings clearly. These skills are vital for identifying and mitigating fraud risks, protecting organizational assets, and ensuring compliance with regulations.

What does a Senior Fraud Risk Analyst do?

A Senior Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze data, investigate suspicious transactions, and develop strategies to prevent fraud. These professionals also collaborate with other departments, implement fraud detection systems, and ensure compliance with regulations. Their expertise helps protect the organization from financial losses and reputational damage.

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

AspectSenior Fraud Risk AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or CPA often preferredBachelor's degree, CFE certification common
Work EnvironmentAnalytical, data-driven, risk assessment teamsInvestigative, interview-focused, field or office-based
Employer & IndustryFinancial institutions, insurance, e-commerceFinancial services, law enforcement, corporate security

While both roles focus on fraud prevention, the Senior Fraud Risk Analyst primarily assesses risks and develops strategies, whereas the Fraud Investigator conducts investigations into specific fraud cases. The analyst role is more analytical and strategic, while the investigator is more hands-on and investigative.

How does a Senior Fraud Risk Analyst typically collaborate with other departments to identify and mitigate fraud risks?

Senior Fraud Risk Analysts often work closely with teams across the organization, such as compliance, IT, customer service, and legal departments. They collaborate to analyze transaction data, investigate suspicious patterns, and implement new fraud prevention strategies. Regular cross-functional meetings and sharing of insights are crucial to ensure that fraud risks are identified early and addressed effectively. This collaborative approach helps create a comprehensive defense against evolving fraud threats and supports a proactive risk management culture.
What are popular job titles related to Senior Fraud Risk Analyst jobs in Silver Spring, MD? For Senior Fraud Risk Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Senior Fraud Risk Analyst jobs in Silver Spring, MD look for? The top searched job categories for Senior Fraud Risk Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Senior Fraud Risk Analyst jobs? Cities near Silver Spring, MD with the most Senior Fraud Risk Analyst job openings:
Senior Fraud Risk Analyst jobs near you
Infographic showing various Senior Fraud Risk Analyst job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 77% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote 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 25 days ago

ID.me rating

6.3

Company rating: 6.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

181st of 204 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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