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Fraud Analytics Jobs in Arizona (NOW HIRING)

We are seeking analytical, detail-oriented, and customer-focused professionals to join our Credit Card Fraud Operations team as a Fraud Case Processor. In this role, you will investigate fraud claims ...

Big Data Developer

Phoenix, AZ

$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 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.

Program Lead (Fraud Support)

Sun City West, AZ • On-site

Full-time

Posted 12 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for supporting programs andprojects specific to corporate change initiatives thatimpacthow the bankdoes business, provides a product or service, or executes a function. Key responsibilities include assisting department managers with critical change initiatives and communicating, influencing, and negotiating both vertically and horizontally to obtain or leverage necessary resources. Job expectations include deliveringregulatory and executive material and ensuringresults align to program strategy, simplification,and new capabilities.

In this role you will be responsible for working closely with stakeholders from across the organization to drive transformational process improvements. You will be accountable for maximizing operational efficiency, reducing fraud losses and improving client experience.

Responsibilities:

  • Engaging with business partners to analyze, implement, and update processes by utilizing sound process improvement models and techniques.

  • Managing the design or redesign of processes or projects using six sigma or related methodologies (i.e. Ops Excellence)

  • Integrating best practices with process design to ensure continuous process improvement.

  • Building action plans and driving their execution

  • Applying business redesign concepts and practices.

  • Leading cross-functional fraud initiatives in partnership with Operations, Risk Management, Analytics, Investigations, and other partners within the bank to implement changes to better detect, deter, recover and/or prevent fraud.

  • Documenting policies, communicating them to relevant organizations and ensuring adherence.

  • Understanding and quantifying risks associated with new or proposed processes or procedural changes, new products or programs.

  • Leading and/or supporting UCRA development and approval for relevant projects and ensuring adherence to the UCRA policy

Required Qualifications:

  • 2+ years of Fraud Detection Operations experience with strong working knowledge of non-monetary filters (Mobile Wallet, Digital Authentication Fraud, and Scams)

  • Must possess strong background in supporting frontline production units, driving efficiencies and supporting LOB leadership.

  • Detail oriented, ability to interpret data and compile it into value-added information for leaders

  • Strong presentation, written, communication and organization skills. Ability to plan and facilitate meetings, prepare communication materials

  • Strong organizational skills

  • Ability to navigate complex and ambiguous environment

  • Demonstrated ability to solve problems and make decisions

  • Flexible and adaptable with strong time management skills

  • Ability to lead projects and continually utilize independent judgment

  • Knowledge of the Fraud Detection Operations space and how interconnected partner groups within Client Protection work together to drive improvement

  • Ability to multitask on several competing high priority projects while able to pivot quickly to urgent requests then quickly move back on task

  • Intermediate knowledge of Tableau

  • Intermediate knowledge of SharePoint

  • Strong Microsoft Office skills, with intermediate Excel & PowerPoint skills

  • Ability to analyze, deconstruct and present data in a meaningful way enabling the business to use that information while making key decisions

  • Strong organization skills using proven task management methodologies

Desired Qualifications:

  • Experience or strong working knowledge of additional Fraud Detection Operations channels/filters

  • Bachelor's degree or equivalent

  • Lean Six Sigma Certification

  • Previous Management/Leadership experience

  • Project Management

  • Proven track record of building and deploying fraud process and control changes

  • Proven track record in being able to work effectively in a fast-paced, dynamic, highly matrix and complex environment.

Skills:

  • Process Design

  • Program Management

  • Project Management

  • Reporting

  • Strategy Planning and Development

  • Issue Management

  • Oral Communications

  • Presentation Skills

  • Prioritization

  • Problem Solving

  • Performance Management

  • Process Performance Management

  • Process Simplification

  • Risk Management

  • Workforce Planning

Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy.

Shift:

1st shift (United States of America)

Hours Per Week: 

40