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Fraud Analytics Jobs in Arizona (NOW HIRING)

Mon - Fri; 8 AM - 5 PM (4 weeks) Fraud Analyst and or analytical experience is no longer a nice to have but a really need to have requirement. Strong candidates without this experience can be ...

The manager leads a team of fraud analyst subject matter experts, providing strategic direction, coaching, performance management, and career development while fostering a culture of collaboration ...

Fraud Investigator

Phoenix, AZ · On-site

$30 - $35/hr

We are looking for a Fraud Investigator to support financial crime reviews and investigative work ... The position will focus on anti-money laundering and know-your-customer analysis while partnering ...

Financial Crimes Manager

Tempe, AZ · Hybrid

$90K - $154K/yr

Monitoring and analyzing high-risk payments activity * Leveraging fraud detection platform to identify patterns, anomalies, and risk signals before to prevent incidence of fraud * Conducting in-depth ...

Financial Crimes Manager

Tempe, AZ · On-site

$90K - $154K/yr

Monitoring and analyzing high-risk payments activity * Leveraging fraud detection platform to identify patterns, anomalies, and risk signals before to prevent incidence of fraud * Conducting in-depth ...

Showing results 21-40

Fraud Analytics information

See Arizona salary details

$14

$28

$59

How much do fraud analytics jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for fraud analytics in Arizona is $28.59, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $31.59 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.

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

The most popular types of Fraud Analytics jobs in Arizona are:

What job categories do people searching Fraud Analytics jobs in Arizona look for?

The top searched job categories for Fraud Analytics jobs in Arizona are:

What cities in Arizona are hiring for Fraud Analytics jobs?

Cities in Arizona with the most Fraud Analytics job openings:

Infographic showing various Fraud Analytics job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $59,475 per year, or $28.6 per hour.

Fraud Insights Operations Analyst, Cx False Positive

Tempe, AZ • On-site

Socket.dev
Network Security • 1 - 10 employees

Other

Posted 6 days ago


Job description

About the Team

The Cx False Positive (FP) Team within the DoorDash Integrity department stands at the forefront of ensuring the security and integrity of our platform. As a member of this team, you'll play a pivotal role in proactively identifying and thwarting potential instances of fraud. Central to our fraud prevention strategy is the belief that taking proactive measures is key to shaping the future, rather than merely anticipating it. With each project we undertake, we strive to develop solutions that safeguard our company. Approaching every investigation with unwavering determination, we fearlessly unearth truths, even when they may be uncomfortable or inconvenient. Our culture is rooted in continuous learning, fostering an environment where every team member is encouraged to grow and adapt.

About the Role

As a top-tier operator, the Fraud Insights Operations Analyst serves as the primary investigator within the team. They possess proficiency in various processes and extensive knowledge of fraud behaviors. Responsibilities entail conducting in-depth investigations into cases of Cx fraud and providing detailed findings to facilitate long-term fraud reduction efforts. Moreover, the role is instrumental in maintaining a delicate balance between optimizing the experience for our Consumers and combating fraudulent activities effectively. Reporting directly to the Fraud Operations Supervisor, the Analyst works closely with our S&O partners to fulfill project and analytic needs.At DoorDash, we believe in fostering a culture of meaningful connection, collaboration, and professional growth through in-office interactions. This position requires an in-office presence at the DoorDash corporate office in Tempe and the employee must live within a commutable 50 miles from the office. In-office days are determined by the business and can change based on business needs. Connect with the recruiter to determine what the in-office requirement for this role is. This role will be assigned a schedule that may include evenings, weekends, and holidays. These schedules will be adjusted periodically to meet the needs of our business.

You’re excited about this opportunity because you will…
  • Identify potential fraud where detection methods do not already exist, and develop processes and tools to mitigate new fraud.
  • Conduct thorough case reviews to ensure safe and compliant trading practices on the site.
  • Utilize data analysis and mathematical skills to enhance the effectiveness of the fraud operations team.
  • Identify and analyze fraud trends within the team, presenting insights and recommendations for improved outcomes and compliance.
  • Manage escalations as directed by leadership.
We’re excited about you because…

Investigation: Conduct detailed investigations on flagged transactions or accounts to determine if fraud has occurred. This may involve reviewing account histories, transaction logs, and communication records.

Fraud Prevention: Develop and implement fraud prevention strategies, policies, and procedures to minimize the occurrence of fraudulent activities.

Data Analysis: Analyze data and perform statistical analysis to identify patterns, trends, and anomalies that may indicate fraudulent behavior.

Reporting: Prepare comprehensive reports on fraud trends, incidents, and mitigation strategies to be presented to management and stakeholders.

Training and Awareness: Conduct training sessions and awareness programs to educate employees about fraud risks, prevention techniques, and reporting procedures.

What you bring to the table…
  • You have 2+ years of experience in fraud, finance, or other professional operational roles.
  • You have strong analytical and problem-solving skills with the ability to identify patterns and anomalies.
  • You have advanced Google sheet/ Excel skills, and familiarity with data analysis and statistical techniques.
  • You have knowledge of fraud prevention strategies, techniques, and tools.
  • You have proficiency in using fraud detection software and systems.
  • You have the ability to collaborate effectively with cross-functional teams.
  • You have knowledge of relevant laws, regulations, and industry standards related to fraud prevention.
About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.

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