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Fraud Analytics Jobs in Washington (NOW HIRING)

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site +1

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

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site

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

Ardent

Senior Cybersecurity Program Manager

Washington, DC · On-site

$131K - $131K/yr

This role will oversee multidisciplinary fraud analytics and cybersecurity operations teams responsible for predictive analytics, forensic analysis, fraud detection, incident coordination, and ...

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 ...

Recorded Future

Fraud Analyst

Washington, DC · On-site

$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 ...

Xtreme Solutions Inc

Fraud I

Washington, DC · On-site

$21 - $22/hr

The Fraud Associate will perform administrative work and data analysis in support of the Office of Legal Affairs. DUTIES/TASKS: * Liaise with internal and external offices and agencies in performing ...

E Logic

Project Manager

Washington, DC · Remote

$90K/yr

Manage agile projects delivering fraud analytics solutions, maintaining cost and schedule milestones consistent with project plans. * Lead complex fraud, waste, abuse, and mismanagement analytic ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

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

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Fraud Analytics information

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How much do fraud analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for fraud analytics in Washington is $34.75, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $38.37 per hour, depending on experience, location, and employer.

How does a Fraud Analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What does a fraud analyst do?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to identify potential scams or security breaches. They use tools like data analysis software and may collaborate with law enforcement or financial institutions to prevent losses and improve fraud detection systems.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How much do fraud analysts earn?

Fraud analysts typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level roles may start around $45,000, while experienced analysts with certifications can earn over $90,000. The role often requires skills in data analysis, fraud detection tools, and knowledge of financial regulations.

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

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What does a fraud analyst make?

A fraud analyst typically earns a median annual salary ranging from $50,000 to $80,000, depending on experience, location, and industry. They analyze transaction data, use fraud detection tools, and may hold certifications like Certified Fraud Examiner (CFE) to identify and prevent fraudulent activities.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The career can be stable and rewarding for those interested in security and data-driven decision making.
What are the most commonly searched types of Fraud Analytics jobs in Washington? The most popular types of Fraud Analytics jobs in Washington are:
What are popular job titles related to Fraud Analytics jobs in Washington? For Fraud Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Fraud Analytics jobs in Washington look for? The top searched job categories for Fraud Analytics jobs in Washington are:
What cities in Washington are hiring for Fraud Analytics jobs? Cities in Washington with the most Fraud Analytics job openings:
Fraud Analytics jobs near you
Fraud Investigations Analyst

Fraud Investigations Analyst

ID.me

Mclean, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.

At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

Fraud Investigations AnalystRole Overview

ID.me is looking for an Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role centers on investigating account takeover (ATO) activity, analyzing fraud signals, and supporting detection efforts that protect millions of users.

We are seeking someone who goes beyond basic case handling and can analyze trends, identify patterns across multiple accounts, and leverage data to inform investigations. As an Analyst, you will work across fraud detection tools, datasets, and risk systems to uncover coordinated fraud activity and contribute to improving detection capabilities.

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

Responsibilities
  • Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data
  • Analyze patterns across multiple accounts to identify coordinated or emerging fraud trends (not just single-account reviews)
  • Use SQL, Python, or similar tools to query datasets and support investigations
  • Leverage fraud detection tools and risk-scoring systems to identify suspicious activity
  • Execute investigations and document findings, escalating higher-risk or complex cases as needed
  • Support tuning and optimization of fraud detection rules, alerts, and signal usage
  • Partner with cross-functional teams to improve fraud detection coverage and data quality
  • Monitor trends in ATO activity and contribute to ongoing detection strategy improvements
  • Leverage AI/LLM tools to accelerate investigations, including querying data, identifying patterns, and summarizing fraud activity across accounts
Basic Qualifications
  • Bachelor's degree from an accredited institution; preferred fields include quantitative disciplines such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 2+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with exposure to account takeover (ATO)
  • 1+ years of experience using SQL, Python, or similar tools to analyze fraud data or investigate trends
  • 1+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 1+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows
Preferred Qualifications
  • Experience working at a fintech company, technology company, or reputable financial institution
  • Experience analyzing organized fraud rings or large-scale fraud patterns
  • Familiarity with machine learning–driven fraud detection systems or AI-assisted analysis

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.

Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.

Pay Range
$80,000—$93,000 USD

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

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