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Fraud Analytics Jobs (NOW HIRING)

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

Qualifications Required Experience * 2+ years in fraud analytics, fraud strategy, or financial crimes * Experience in at least one of the following: Fraud rules management / transaction monitoring ...

Qualifications Required Experience * 2+ years in fraud analytics, fraud strategy, or financial crimes * Experience in at least one of the following: Fraud rules management / transaction monitoring ...

Qualifications Required Experience * 2+ years in fraud analytics, fraud strategy, or financial crimes * Experience in at least one of the following: Fraud rules management / transaction monitoring ...

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Fraud Analytics information

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How much do fraud analytics jobs pay per hour?

As of Jun 20, 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 review alerts from fraud detection systems to prevent financial losses and ensure compliance. Strong analytical skills and knowledge of fraud prevention techniques are essential for this role.

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.

Will the fraud analyst be replaced by AI?

Fraud analysts play a critical role in detecting complex and evolving fraudulent activities that AI alone cannot fully address. While AI tools assist in automating routine tasks and analyzing large data sets, human judgment, critical thinking, and expertise remain essential in fraud prevention and investigation. Therefore, fraud analysts are likely to work alongside AI rather than be fully replaced by it.

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.

How much does a fraud analyst earn?

The average salary for a fraud analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with certifications and advanced skills can earn higher salaries. Many fraud analysts also receive benefits such as bonuses and health insurance.

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 role can be stable and rewarding for those interested in security and data-driven decision making.
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Fraud Abuse Specialist, Digital Fraud & Abuse

Fraud Abuse Specialist, Digital Fraud & Abuse

Geico

Palo Alto, CA

$100K - $215K/yr

Full-time

Posted 12 days ago


GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 351 frontline employees who took The Breakroom Quiz

133rd of 261 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

Like all large digital enterprises, GEICO faces industrywide challenges related to digital fraud and customer account abuse. These challenges present an opportunity to strengthen customer trust, improve resilience across our digital experiences, and lead with thoughtful, modern protections. By establishing a dedicated Digital Fraud & Abuse capability, GEICO is taking a proactive, coordinated approach - owning the customer abuse lifecycle end to end and continuously improving the effectiveness of the controls that safeguard our customers and our business.

This individual contributor position is seeking a Fraud Abuse Specialist to help develop fraud analytics models that detect suspicious activity throughout GEICO's business sector or use industry experience to create systematic solutions for persistent challenges. You'll apply advanced data analysis skills-including SQL, Python, machine learning, and data science-to drive critical, high-impact projects by collaborating with engineers, product teams, and business stakeholders in the digital fraud domain. In this role, you will play an important part in standardizing processes that enable smart decision-making, helping us respond quickly to emerging threats.

This role will:

  • Develop and maintain advanced fraud models to identify identity fraud, account takeover, and synthetic identity risks.

  • Perform risk analyses and manage complex data sets using tools such as SQL, Python, and R.

  • Monitor fraud analytics encompassing Identity and Entity Resolution/Detection, Social Network Analysis, and Unsupervised Monitoring techniques.

  • Establish anomaly behaviors and indicators, both within and outside defined ranges, that prompt active response.

  • Integrate data from third-party technology providers and tools to continuously enhance fraud detection capabilities.

  • Oversee the ongoing performance of fraud analytic models to ensure effectiveness as fraud schemes evolve.

  • Assist in developing dashboards to report key performance indicators and generate suspicious activity alerts for the operations team.

  • Conduct comprehensive fraud risk assessments to identify program vulnerabilities, evaluate risks, set tolerances, and recommend mitigation strategies.

  • Establish and report on Key Performance Indicators, including alert volume, adjudication outcomes, time to resolution, fraud type, and entry point.

  • Demonstrate proficiency in data visualization and dynamic dashboard creation using Tableau.

  • Possess experience with both relational and non-relational database systems and architecture.

  • Exhibit a strong passion for problem identification and solution optimization.

  • Maintain meticulous attention to detail along with excellent verbal, written, analytical, and organizational skills.

  • Leverage data and technical expertise to discover innovative approaches to scaling signal analysis and identifying fraudulent actors.

  • Manage the complete lifecycle of complex issues, from identification through scalable solution implementation.

  • Utilize agentic AI systems to automate workflows, enhance pattern detection, and expedite investigation and detection initiatives.

QualificationsRequired
  • Bachelor's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining.

  • 5+ years of relevant analytic experience in within digital fraud, abuse prevention, identity risk, and related fields.

  • Demonstrated strong technical proficiency, including the ability to understand APIs, data workflows, customer environments, and effectively translate requirements for engineering teams.

  • Proven track record of influencing organizational change through influence in large, matrixed environments.

  • Experience working with data and technology teams to build machine learning and heuristic fraud signals and rules.

  • Experience partnering closely with product and engineering teams on platform evolution.

Preferred
  • Experience building programmatic fraud prevention capabilities

  • Insurance, fintech, or largescale consumer digital platform experience

  • Familiarity with adaptive authentication, device intelligence, and risk engines

  • Relevant certifications


Annual Salary

$100,000.00 - $215,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936