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Fraud Analytics Jobs (NOW HIRING)

Job Summary The Fraud Analytics Manager supports the Account Protection Fraud Strategy function by leading fraud trend analysis, developing mitigation strategies, and deploying datadriven solutions ...

NY · On-site

This role reports directly to the Manager of Fraud Analytics and serves as a close working partner, supporting the full range of analytical work that drives fraud strategy, detection, and reporting ...

New

Job Summary The Fraud Analytics Manager supports the Account Protection Fraud Strategy function by leading fraud trend analysis, developing mitigation strategies, and deploying datadriven solutions ...

Job Summary The Fraud Analytics Manager supports the Account Protection Fraud Strategy function by leading fraud trend analysis, developing mitigation strategies, and deploying datadriven solutions ...

Job Summary The Fraud Analytics Manager supports the Account Protection Fraud Strategy function by leading fraud trend analysis, developing mitigation strategies, and deploying datadriven solutions ...

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Senior - Payments & Fraud Analytics Employment: Full-Time Location: San Jose, CA (Hybrid) | Full-Time Industry: Fintech For one of our Fortune client we are hiring for a high-impact Payments & Fraud ...

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Fraud Analytics information

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$15

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$63

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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What cities are hiring for Fraud Analytics jobs?

Cities with the most Fraud Analytics job openings:

What are the most commonly searched types of Fraud Analytics jobs?

The most popular types of Fraud Analytics jobs are:

What states have the most Fraud Analytics jobs?

States with the most job openings for Fraud Analytics jobs include:

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.

Analyst - Fraud Analytics

Atlantic City, NJ • On-site

Other

PTO

Posted 9 days ago


Job description

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space - ready to join us?

What's the position?

We are looking for a sharp, curious, and highly analytical individual to join our Fraud team as a Fraud Analytics Analyst. This role reports directly to the Manager of Fraud Analytics and serves as a close working partner, supporting the full range of analytical work that drives fraud strategy, detection, and reporting across the business.

This is a hands-on data role for someone who enjoys digging into large datasets, isolating patterns, and turning raw signals into clear, defensible conclusions. You will work directly in our data environment to investigate suspicious activity, quantify the impact of fraud and promo abuse, and produce the analysis and reporting that leadership relies on making decisions. You will also help build and refine the tools, queries, and repeatable processes that make the whole team faster and more accurate.

The ideal candidate is equal parts investigator and analyst. You are comfortable writing your own queries, structuring your own analysis, and communicating findings in plain language, and you take pride in work that is accurate, well documented, and delivered on time. You are also excited to work with modern AI tools, which are a core part of how our team investigates, analyzes, and reports, and to help push those capabilities further.

Responsibilities include:

  • Querying and analyzing large datasets to investigate accounts, cohorts, and transaction patterns tied to suspected fraud and related risk activity.

  • Building account-level and cohort-level analysis in Excel, Amplitude, Power BI and other tools to support investigations and quantify impact.

  • Producing clear, professional reports and written summaries that translate complex analysis into tangible findings and recommendations for leadership.

  • Investigating alerts and signals generated across internal and third-party detection systems, and validating or disproving suspected fraud scenarios.

  • Supporting recurring operational and leadership reporting, with insights grounded in data.

  • Assisting with the development and testing of detection rules and logic, and helping identify gaps and opportunities to improve accuracy.

  • Conducting quality reviews of case handling and documentation against internal standards.

  • Helping build and maintain the queries, tools, templates, and documentation that support the analytics function.

  • Managing multiple concurrent projects and ad hoc requests while meeting turnaround expectations and following documented procedures.

  • Partnering with fraud operations, compliance, and other teams to align on process and escalation.

What are we looking for?

Successful candidates will be self-driven, detail-oriented, and comfortable working independently in a fast-paced, high-volume environment. This role suits someone who is genuinely curious about how fraud works, enjoys solving open-ended problems with data, and wants to grow into a deeper analytics specialty within a fraud team.

  • Previous experience in fraud, payments, risk, banking, disputes, or a related analytical field (preferred).

  • Working proficiency in SQL, with the ability to write and troubleshoot your own queries against large datasets. Experience with Snowflake is a plus.

  • Strong Excel skills, including the ability to structure, clean, and analyze account-level and transactional data.

  • Good investigative instincts, sound judgment, and the ability to interpret data and activity to reach clear, defensible conclusions.

  • Strong written communication skills, including the ability to distill complex analysis into concise summaries and recommendations that drive decisions.

  • Experience with data visualization tools such as Tableau or Power BI is a plus.

  • Knowledge of gambling and sports betting, and how customers engage with those products, is a plus.

  • Familiarity with fraud typologies such as promo abuse, multi-accounting, chargebacks, account takeover, or payment fraud is a plus.

  • Ability to manage numerous projects simultaneously at various stages of development and to adapt quickly to changing priorities.

  • Comfort with AI tools and a genuine interest in using them to work faster and smarter is a strong plus, along with a willingness to learn new systems.

  • Bachelors Degree in Business, Mathematics or a related field preferred.

  • As we operate at the speed of sports, candidates must be prepared to work flexible hours to mirror the sporting schedule.

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

  • Competitive pay and benefits

  • Flexible vacation allowance

  • A hybrid / remote working environment

  • Startup culture backed by a secure, global brand

Roster of Uniques

We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunity employer).

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