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Fraud Analytics Jobs (NOW HIRING)

Avant

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Avant is looking for knowledgeable fraud professionals to join our Fraud Analytics team in Chicago. This position is critical in utilizing data to identify fraud trends, developing and deploying ...

Avant LLC

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Avant is looking for knowledgeable fraud professionals to join our Fraud Analytics team in Chicago. This position is critical in utilizing data to identify fraud trends, developing and deploying ...

Jobtailor

Use fraud tools, analytics, reporting, and available data sources to identify suspicious activity and support strategy optimization * Help build and mature fraud capabilities, including process ...

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How much do fraud analytics jobs pay per hour?

As of Sep 12, 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.

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.

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 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 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 do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

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 role can be stable and rewarding for those interested in security and data-driven decision making.

What does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.
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Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 93% Full Time, 3% Part Time, and 2% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Program Manager (Fraud Analytics & Investigative Support)

Fairfax, VA • On-site

Praescient Analytics
IT Services • 51 - 200 employees
Learn more about Praescient Analyticsexternal

Other

Re-posted 17 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 Project Manager to lead the delivery of a large‑scale federal fraud analytics and investigative support program. The Project Manager will oversee agile teams delivering advanced analytics, fraud detection, investigative support, and program integrity solutions supporting oversight of federal benefit programs. This individual will serve as the primary technical and managerial interface with Government leadership while ensuring successful execution of cost, schedule, quality, and performance objectives.

The ideal candidate is an experienced delivery leader with a strong background managing multidisciplinary teams supporting fraud, waste, abuse, and mismanagement initiatives across complex federal environments. Success in this role requires balancing strategic program leadership with hands‑on execution, stakeholder engagement, agile delivery management, and continuous coordination across multiple government and contractor organizations.

Key Responsibilities:
  • Serve as the primary technical and managerial interface between the Contractor, Contracting Officer (CO), Contracting Officer's Representative (COR), and Government stakeholders.
  • Lead day‑to‑day execution of a complex fraud analytics and investigative support program using Agile project management methodologies.
  • Manage program cost, schedule, staffing, risk, quality, and contract deliverables to ensure successful execution of project objectives.
  • Coordinate multidisciplinary teams consisting of data scientists, data engineers, investigative analysts, graph analysts, forensic accountants, technical leads, and other specialized personnel.
  • Lead sprint planning, backlog management, integrated project team meetings, demonstrations, and recurring program status reviews.
  • Oversee development and delivery of advanced fraud analytics, machine learning models, anomaly detection, entity resolution, risk scoring, link analysis, graph analytics, natural language processing, and AI‑enabled analytical capabilities.
  • Coordinate investigative support activities including lead packages, case support, intelligence reporting, referral packages, investigative briefings, and analytical products supporting oversight organizations.
  • Foster collaboration across Government organizations, subcontractors, and partner vendors to ensure integrated delivery of high‑quality products and services.
  • Monitor program performance through project metrics, risk management, quality assurance, and continuous process improvement.
  • Ensure rapid response to Government requests and maintain open, transparent communication with program stakeholders.
  • Meet with Government personnel as required to resolve issues and discuss program performance within established response timelines.
Required Qualifications:
  • Five (5) or more years of experience managing Agile projects delivering fraud analytics, advanced analytics, or investigative support solutions.
  • Demonstrated experience managing programs supporting advanced analytic and investigative services similar in size and complexity to this effort.
  • Experience leading complex fraud, waste, abuse, and mismanagement analytic initiatives involving large‑scale federal benefit programs.
  • Experience managing multidisciplinary technical teams delivering advanced analytics, investigative support, and data‑driven mission solutions.
  • Demonstrated experience serving as the primary interface with Government Contracting Officers (COs), Contracting Officer's Representatives (CORs), senior government leadership, and multiple stakeholder organizations.
  • Proven experience managing program cost, schedule, staffing, risks, and contract deliverables.
  • Strong understanding of Agile delivery methodologies, including sprint planning, backlog management, iterative development, and stakeholder demonstrations.
  • Excellent written, verbal, presentation, and interpersonal communication skills.
  • Demonstrated strengths in strategic thinking, fraud detection and prevention, planning and execution, conflict resolution, multitasking, and organizational leadership.
Preferred Qualifications:

Preference will be given to candidates with experience leading or supporting programs involving one or more of the following:

  • Fraud analytics supporting pandemic relief, emergency assistance, grants, loans, healthcare, unemployment insurance, disaster relief, financial assistance, or other large‑scale federal benefit programs.
  • Delivery of advanced analytics capabilities utilizing machine learning, artificial intelligence, anomaly detection, entity resolution, graph analytics, link analysis, natural language processing (NLP), or risk scoring methodologies.
  • Cloud‑based analytics environments leveraging technologies such as Azure Databricks, Azure SQL, Microsoft Fabric, SQL Server, Power BI, Neo4j, Git repositories, Lakehouse architectures, or enterprise data catalogs.
  • Integration of public, non‑public, commercial, and law‑enforcement data sources to identify fraud patterns, organized fraud rings, duplicate or synthetic identities, eligibility issues, and emerging risks.
  • Supporting Offices of Inspector General (OIGs), law‑enforcement organizations, oversight agencies, or program integrity initiatives.
  • Managing cross‑functional teams operating within complex federal acquisition environments involving multiple subcontractors, government stakeholders, and technical delivery teams.
Compensation:

The projected compensation range for this position is $110,000.00 to $150,000.00 (annualized USD).

What We're Looking For:

The successful candidate is a collaborative leader who thrives in fast‑paced federal environments, communicates effectively with executives and technical staff alike, and has a proven ability to deliver high‑quality fraud analytics solutions while building strong partnerships across Government and industry teams.

Citizenship and Security:

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. US Citizenship Required.

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