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Fraud Analytics Jobs (NOW HIRING)

Amivero

Fraud Data Analytics Lead

Washington, DC

$75K - $130K/yr

Our Fraud Data Analytics Lead will lead a team of fraud analysts and be instrumental in working with the federal government to develop fraud analytic models that identify suspicious activity for ...

Affirm

Analyst II, Full Stack (Fraud Analytics)

$128K - $188K/yr

The Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing Affirm's online fraud decisioning strategy. The team works cross-functionally with Product, Engineering ...

Affirm

Analyst II, Full Stack (Fraud Analytics)

The Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing Affirm's online fraud decisioning strategy, requiring extensive use of data analytics to derive insights ...

Experian

$50.75 - $65.75/hr

The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and ...

Upstart

OR

Upstart's Secured Lending Fraud Oversight function is the Bank's first-line fraud detection ... analytics, or financial crimes within consumer lending, banking, or a regulated financial ...

Experian

The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and ...

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How much do fraud analytics jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for fraud analytics in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 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.
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Fraud Analytics jobs near you
Senior Forensic Accountant (Fraud Analytics & Investigative Support)

Senior Forensic Accountant (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Posted 15 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking an experienced Senior Forensic Accountant to support complex financial investigations involving fraud, waste, abuse, and mismanagement affecting federal benefit programs and other government funding initiatives. This individual will perform sophisticated financial analysis to trace the movement of funds, identify fraudulent financial activity, support investigative case development, and assist oversight organizations in uncovering complex fraud schemes.
The ideal candidate is an experienced forensic accounting professional with a strong background in financial investigations, asset tracing, money laundering, and fraud analysis. They combine technical accounting expertise with investigative thinking and are comfortable working alongside investigators, data scientists, investigative analysts, and federal law enforcement partners to develop evidence-based financial analysis that support civil and criminal investigations.
Key Responsibilities
  • Conduct complex forensic accounting analysis to trace the proceeds of fraud through financial transactions, bank records, business records, and other financial documentation.
  • Analyze financial records to identify fraudulent transactions, money laundering activity, asset concealment, and other indicators of financial misconduct.
  • Support investigations involving federal benefit programs, grants, loans, financial assistance programs, emergency relief funding, and other government programs.
  • Perform detailed tracing and analysis of funds across multiple financial institutions, business entities, and related parties.
  • Review bank records, financial statements, payment transactions, accounting records, and other financial documentation to identify suspicious financial activity.
  • Prepare clear, well-documented financial analysis, investigative summaries, and evidentiary work products suitable for investigative, civil, and criminal proceedings.
  • Collaborate with Investigative Analysts, Data Scientists, Graph Data Scientists, and Government investigators to integrate financial findings with broader investigative intelligence.
  • Utilize commercial databases, public records, financial intelligence resources, and other investigative tools to support financial investigations.
  • Present investigative findings and financial analysis to Government stakeholders, oversight organizations, and law enforcement partners.
  • Maintain detailed documentation supporting investigative conclusions while ensuring analytical accuracy, objectivity, and defensibility.

Required Qualifications
  • Five (5) or more years of experience supporting complex financial investigations involving the tracing of fraud proceeds.
  • Five (5) or more years of forensic accounting experience specializing in financial investigations with an emphasis on money laundering, asset tracing, and asset forfeiture.
  • Demonstrated experience tracing and analyzing financial transactions, including detailed review of bank records and other financial documentation.
  • Experience supporting large-scale forensic accounting investigations involving criminal or civil fraud matters.
  • Working knowledge of current financial investigative techniques, commercial databases, and other investigative data sources.
  • Expert-level proficiency with Microsoft Excel, PowerPoint, and other Microsoft Office applications.
  • Strong analytical, investigative, written, and verbal communication skills.
  • Current certification as one of the following:
  • Certified Public Accountant (CPA)
  • Certified Fraud Examiner (CFE/ACFE)
  • Certified Anti-Money Laundering Specialist (CAMS/ACAMS)

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting investigations involving federal benefit programs, pandemic relief programs, emergency assistance, grants, loans, unemployment insurance, healthcare programs, disaster relief funding, or other large-scale public-sector financial assistance programs.
  • Working with Offices of Inspector General (OIGs), federal law enforcement agencies, prosecutors, financial intelligence units, or other government oversight organizations.
  • Tracing complex financial transactions involving shell companies, nominee entities, layered transactions, beneficial ownership structures, money laundering schemes, or concealed assets.
  • Supporting civil or criminal litigation involving fraud, financial crimes, asset forfeiture, or government program fraud.
  • Utilizing commercial financial investigative databases, public records, corporate records, sanctions databases, and other financial intelligence resources to support investigations.
  • Identifying fraud indicators associated with identity fraud, synthetic identities, organized fraud rings, financial statement fraud, procurement fraud, grant fraud, loan fraud, or other financial crimes.
  • Collaborating with multidisciplinary investigative teams that include data scientists, investigative analysts, intelligence analysts, graph data scientists, and digital forensic specialists.
  • Preparing financial analysis, investigative summaries, exhibits, and evidentiary documentation suitable for referral to law enforcement or use in judicial proceedings.
  • Applying data analytics, visualization tools, or financial analysis software to identify complex financial patterns and support investigative decision-making.
  • Specialized training or certifications related to money laundering investigations, federal benefit program fraud, financial crimes, or asset forfeiture.

What We're Looking For
We're looking for a forensic accounting professional who enjoys following the money to uncover complex fraud schemes. The ideal candidate combines strong accounting expertise with an investigative mindset, enabling them to identify hidden financial relationships, reconstruct the flow of funds, and produce defensible financial analysis that support investigators, oversight organizations, and law enforcement. They understand that careful financial analysis is often the key to exposing sophisticated fraud and take pride in producing accurate, well-documented work that stands up to investigative and legal scrutiny.
Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.
Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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