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Fraud Analytics Jobs in Arizona (NOW HIRING)

This role partners closely with analytics, technology, and solution teams, while remaining ... Own enterprise fraud risk strategy, defining priorities, investment decisions, and strategic ...

New

This role partners closely with analytics, technology, and solution teams, while remaining ... Own enterprise fraud risk strategy, defining priorities, investment decisions, and strategic ...

eCommerce Fraud Agent

Phoenix, AZ

$14.75 - $19.50/hr

Lastly, Ecommerce Fraud Agents may be expected to assist other areas within the Central ... Trend analysis and report building as directed by leadership. * Must be able to work various shifts ...

eCommerce Fraud Agent

Phoenix, AZ

$14.75 - $19.50/hr

Lastly, Ecommerce Fraud Agents may be expected to assist other areas within the Central ... Trend analysis and report building as directed by leadership. * Must be able to work various shifts ...

eCommerce Fraud Agent

Phoenix, AZ · On-site

$14.75 - $19.50/hr

Trend analysis and report building as directed by leadership. * Must be able to work various shifts ... Knowledge of commonly-used fraud prevention concepts, practices, and procedures and common fraud ...

Candidate should have had exposure to Credit Risk domain or Fraud analytics domain. At least 2 years of experience working in Global Delivery model- i.e. onsite- offshore model. At least 4 years of ...

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Atleast 2 years of experience on Python Candidate should have had exposure to Credit Risk domain or Fraud analytics domain At least 2 years of experience working in Global Delivery model- i.e. onsite ...

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Fraud Analytics information

See Arizona salary details

$14

$28

$59

How much do fraud analytics jobs pay per hour?

As of Jul 5, 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.

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.
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 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 June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $59,475 per year, or $28.6 per hour.
Sr. Fraud Risk Strategies Analyst - Paze

Sr. Fraud Risk Strategies Analyst - Paze

Early Warning Services

Scottsdale, AZ • Hybrid

$101K - $126K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

This role is accountable to analyze, create and deploy the rules, scores, and decisioning logic from both internally and externally developed fraud risk models and applications with the associated outcomes as it applies to decisions rendered to optimize the balance of risk, expense and experience while using the payment network in a variety of operating environments.

This work must be done directly or in partnership with financial institutions and includes collaboration with internal stakeholders including Product, Engineering, and Analytics to inform fraud risk decisioning and strategy execution.This role also partners closely with Fraud Risk Program Management to align fraud strategies with broader program objectives and roadmap priorities.

Essential Functions

  • Assess, recommend and modify the application of scores and rules to deliver the optimal balance of risk, expense and experience for clients, consumers and partners in the network.

  • Implement fraud detection and prevention strategies for the network.

  • Create and apply data-driven insights for constant monitoring of effectiveness, efficiency and opportunities in the application of features, scores, rules and logic to continuously improve fraud risk strategy performance.

  • Develop and deliver clear, concise communications and presentations to internal stakeholders (including Product, Engineering, Analytics, and Risk teams) external stakeholders (including banking partners, merchants, and third-party vendors) regarding emerging risks, observed trends and related opportunities.

  • Perform the analysis of fraud events for the purpose of identifying and consistently categorizing the root cause of fraud events observed or attempted in the network and identifying control gaps and opportunities for mitigation.

  • Monitor fraud trends, emerging threats, and attack patterns, and proactively recommend enhancements to rules, strategies, and controls.

  • Support the company's commitment to protect the integrity and confidentiality of systems and data.


Minimum Qualifications

  • Bachelor's degree or equivalent education/experience required.

  • Minimum 5 years of fraud risk management experience.

  • SQL/SAS/Python competencies or comparable data analytics skills.

  • Proven track record of converting concepts to analysis to cases for change.

  • Strong written, verbal, and presentation skills with the ability to communicate effectively to both technical and non-technical audiences.

  • Experience with digital banking, payments and/or payment networks.

  • Experience with financial institutions in the area of fraud risk management.

  • Background and drug screen

Preferred Qualifications
  • Certified Fraud Examiner (CFE) certification or similar credential is a plus

  • Ability to operate with a high degree of autonomy and influence strategy decisions without direct authority

  • Experience supporting enterprise fraud programs or large-scale fraud platforms

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers.


Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The base pay scale for this position in:
Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $84,000 - $105,000.
New York, NY/ San Francisco, CA in USD per year is: $101,000 - $126,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

#LI-AV

#Dice

Some of the Ways We Prioritize Your Health and Happiness

  • Healthcare Coverage-Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

  • 401(k) Retirement Plan-Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

  • Paid Time Off -Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

  • 12 weeks of Paid Parental Leave

  • Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

AndSOmuch more! We continue to enhance our program, so be sure tocheck our Benefits page herefor the latest. Ourteamcan share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.