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Ai Artificial Intelligence Fraud Detection Jobs (NOW HIRING)

... artificial intelligence, machine learning, and advanced analytics to improve fraud detection ... Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating ...

New

... artificial intelligence, machine learning, and advanced analytics to improve fraud detection ... Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating ...

New

... artificial intelligence, machine learning, and advanced analytics to improve fraud detection ... Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating ...

New

... artificial intelligence, machine learning, and advanced analytics to improve fraud detection ... Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating ...

New

... artificial intelligence, machine learning, and advanced analytics to improve fraud detection ... Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating ...

New

$140 - $200/hr

... fraud detection, data science workloads, and AI-enabled automation. The successful candidate will ... Artificial Intelligence & Machine Learning * Generative AI * Machine Learning * Deep Learning

NY · On-site

$360 - $460/hr

Advanced degree preferred in Computer Science, Artificial Intelligence, Data Science, Quantitative Finance or a related discipline.Senior AI transformation leadership: 10+ years' experience at the ...

New

$322 - $436/hr

Vice President, Artificial Intelligence Rapid7 is seeking a VP, AI to define and drive our global ... detection, and responsible AI governance. * Build and maintain a compelling AI product roadmap ...

New

Fraud Analyst

NY · Remote

$66K - $75K/yr

Work with the VP, Financial Crimes & Intelligence and Risk Management Team to improve ... Assess and analyze fraud alerts generated by MCU fraud detection systems, or flagged by internal ...

New

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Ai Artificial Intelligence Fraud Detection information

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How much do ai artificial intelligence fraud detection jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai artificial intelligence fraud detection in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

What is AI artificial intelligence fraud detection?

AI Fraud Detection refers to the use of artificial intelligence technologies to identify and prevent fraudulent activities in various sectors such as banking, insurance, and e-commerce. These systems analyze large volumes of data, detect unusual patterns, and flag potentially fraudulent transactions more quickly and accurately than traditional methods. Machine learning algorithms continuously improve by learning from new data, helping organizations reduce financial losses and enhance security. AI-based fraud detection can be applied in real-time, making it an essential tool for mitigating risks and maintaining customer trust.

What are the key skills and qualifications needed to thrive as an AI artificial intelligence fraud detection specialist?

To excel in AI Fraud Detection, you need a solid background in data science, machine learning, and cybersecurity, typically supported by a degree in computer science or related fields. Expertise in programming languages like Python or R, experience with machine learning frameworks (e.g., TensorFlow, scikit-learn), and familiarity with fraud detection systems are essential. Strong analytical thinking, problem-solving, and effective communication skills help professionals interpret complex data and work with cross-functional teams. These capabilities are crucial for accurately identifying fraudulent activity, minimizing risks, and maintaining organizational security.

What are the typical challenges faced when working in AI-driven fraud detection roles?

Professionals in AI fraud detection often encounter challenges such as adapting to rapidly evolving fraud tactics and ensuring their models can accurately detect new, sophisticated schemes. Balancing the need to minimize false positives—so legitimate transactions are not wrongly flagged—with catching actual fraudulent activity requires constant model tuning and data analysis. Additionally, collaboration with cross-functional teams, such as cybersecurity, compliance, and customer support, is essential to ensure comprehensive solutions and swift incident response. Staying updated with the latest industry trends and regulatory requirements also plays a big role in everyday work.

What is the difference between Ai Artificial Intelligence Fraud Detection vs Data Analyst?

AspectAi Artificial Intelligence Fraud DetectionData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; certifications in AI or machine learningBachelor's in Statistics, Mathematics, or related fields; data analysis certifications
Work EnvironmentTech companies, financial institutions, cybersecurity firmsBusiness, finance, healthcare, or marketing departments across various industries
Employer & Industry UsageUsed for detecting fraud patterns using AI algorithmsUsed for interpreting data trends, reporting, and supporting decision-making

Ai Artificial Intelligence Fraud Detection specialists focus on developing and implementing AI systems to identify fraudulent activities, often requiring technical skills in machine learning. Data Analysts interpret data to uncover insights and support business strategies. While both roles work with data, AI Fraud Detection is more technical and specialized in AI applications, whereas Data Analysts focus on data interpretation and reporting.

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What cities are hiring for Ai Artificial Intelligence Fraud Detection jobs?

Cities with the most Ai Artificial Intelligence Fraud Detection job openings:

What states have the most Ai Artificial Intelligence Fraud Detection jobs?

States with the most job openings for Ai Artificial Intelligence Fraud Detection jobs include:

Infographic showing various Ai Artificial Intelligence Fraud Detection job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.

Prepaid Fraud Risk Manager

US Bank

Irving, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

65th of 174 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The Prepaid Fraud Risk Manager serves as the designated fraud risk subject matter expert for prepaid debit card products, responsible for developing, executing, and continuously enhancing fraud risk management strategies that protect clients, cardholders, and the enterprise. This role oversees fraud loss performance, fraud controls, and emerging fraud risk trends while balancing customer experience, regulatory requirements, and operational effectiveness.

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, innovation, accountability, and continuous improvement. This role partners closely with product, operations, compliance, technology, risk management, issuing banks, payment networks, and other internal and external stakeholders to identify emerging threats, implement fraud mitigation strategies, support new product and client launches, and drive business results.

The successful candidate will combine deep fraud expertise, analytical acumen, leadership capabilities, and strong communication skills to translate complex fraud risks into actionable business insights. This role also promotes innovation through the responsible use of artificial intelligence, data storytelling, and advanced analytics to improve fraud outcomes, enhance customer experiences, and support executive decision-making.

Key Responsibilities

  • Serve as the primary fraud risk subject matter expert for prepaid debit cards, providing guidance on fraud controls, risk mitigation strategies, and emerging fraud threats.

  • Lead, coach, and develop a team of fraud analyst subject matter experts, establishing clear goals, performance expectations, and development plans while fostering a high-performing and collaborative culture.

  • Oversee fraud loss performance for the assigned business line and identify opportunities to reduce fraud losses through effective controls, strategies, and monitoring practices.

  • Monitor fraud trends, emerging threats, and high-risk accounts to proactively identify risks and implement mitigation strategies.

  • Conduct root cause analysis of fraud events, loss trends, and significant fraud cases to identify vulnerabilities and recommend corrective actions.

  • Partner with product, operations, technology, and risk stakeholders to ensure appropriate fraud controls are incorporated into new products, services, and client implementations.

  • Collaborate with industry partners, including issuing banks, Visa, Mastercard, and other third parties, to monitor fraud trends, share intelligence, and strengthen fraud prevention capabilities.

  • Manage fraud-related customer escalations and partner inquiries, ensuring timely resolution and effective communication.

  • Oversee fraud and Customer Identification Program (CIP) related requests from issuing banks and other external stakeholders.

  • Support business development activities by providing fraud risk expertise and responses for client proposals, RFPs, and due diligence requests.

  • Evaluate, recommend, and support implementation of new fraud tools, data sources, and capabilities that improve fraud detection, prevention, and operational effectiveness.

  • Translate complex fraud performance metrics, risk trends, and analytical findings into executive-level communications and actionable business recommendations.

  • Develop and contribute to periodic business reviews and presentations using effective data visualization and storytelling techniques.

Additional Responsibilities

  • Identify and pursue opportunities to leverage artificial intelligence, machine learning, and advanced analytics to improve fraud detection, operational efficiency, customer experience, and business communications.

  • Promote best practices in data storytelling, visualization, and executive communication across the team.

  • Support internal audits, regulatory examinations, risk assessments, and compliance-related activities.

  • Maintain strong partnerships across business lines and support cross-functional initiatives related to fraud risk management.

  • Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating outputs and ensuring compliance with governance, privacy, and risk management standards.

  • Maintain adherence to applicable laws, regulations, policies, procedures, and internal control requirements.

  • Stay informed on emerging fraud schemes, industry trends, payment technologies, and regulatory developments impacting prepaid products and fraud risk management.

Basic Qualifications

  • Bachelor's degree or equivalent work experience.

  • 10+ years of relevant experience in fraud risk management, financial services, payments, banking operations, or related disciplines.

  • Previous leadership or people management experience.

Preferred Qualifications

  • Deep knowledge of prepaid debit card products, payment systems, fraud prevention strategies, and fraud risk management practices.

  • Strong understanding of fraud schemes and operational fraud processes.

  • Experience managing fraud loss performance and implementing fraud mitigation strategies.

  • Demonstrated ability to lead, coach, and develop high-performing teams.

  • Knowledge of banking operations and applicable federal and state laws and regulations.

  • Experience partnering with payment networks, issuing banks, regulators, and cross-functional business teams.

  • Strong analytical, critical thinking, problem-solving, and decision-making skills.

  • Experience with data analytics tools and programming languages such as SQL, SAS, Python, or R.

  • Experience supporting AI- and machine learning-enabled fraud initiatives preferred.

  • Exceptional written, verbal, presentation, and interpersonal communication skills.

  • Ability to translate complex analytical findings into clear, executive-ready business recommendations.

  • Strong organizational, project management, and stakeholder management skills.

  • Ability to prioritize multiple initiatives, work effectively in a fast-paced environment, and navigate ambiguity.

  • Demonstrated commitment to continuous learning, innovation, and process improvement.

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

NOTE: This position is not eligible for current or future visa sponsorship.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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