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Software Engineer Fraud Detection Jobs in Arizona

Identify and quantify optimization opportunities to improve fraud detection outcomes, reduce ... software packages including Microsoft Office applications and data analysis software LOCATION ...

Actimize Engineer

Phoenix, AZ · On-site

$84K - $106K/yr

Actimize Engineer Location: Phoenix, AZ / Charlotte, NC Type: Contract We are seeking an ... Develop and customize AML and Fraud Detection rules, scenarios, workflows, and dashboards.

Utilize fraud detection tools, software, and systems to enhance fraud monitoring and prevention capabilities. We're excited about you because... * You have 2+ years of experience in fraud, finance ...

Anti-Fraud Risk Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No ... Teamwork with different function teams to design abuse, porn, tele-fraud detection model base on ...

Anti-Fraud Risk Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No ... Teamwork with different function teams to design abuse, porn, tele-fraud detection model base on ...

... Software based on reader feedback demonstrating its across-the-board success with customers in the three core areas of Client Gartner Magic Quadrant Leaders Quadrant for 2011 Web Fraud Detection Fast ...

Software Engineer Principal

Phoenix, AZ · On-site

$134K - $179K/yr

As a Software Engineer Principle you will lead the engineering and improvement of enterprise ... Python preferred) - Experience with configuration management and drift detection/remediation ...

Senior Software Engineer I

Tucson, AZ · On-site

$115K - $152K/yr

SENIOR SOFTWARE ENGINEER I Rocket Lab's Optical Systems division solves mission-critical space ... Understanding of computer vision approaches, such as object detection, image segmentation, re ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

eCommerce Fraud Agent

Phoenix, AZ · On-site

$14.75 - $19.50/hr

Experience: * Combined 2-4 years of experience in ecommerce, experience with fraud detection ... software, and data analysis tools and techniques. * Knowledge of investigative concepts and ...

Enable enhanced fraud detection and prevention through network-based analysis of entities ... Standardized graph engineering practices, including modeling guidelines, performance tuning, and ...

Enable enhanced fraud detection and prevention through network-based analysis of entities ... Standardized graph engineering practices, including modeling guidelines, performance tuning, and ...

We're hiring Staff Software Engineers to join our Engineering team. Oscar is the first health ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

We're hiring Staff Software Engineers to join our Engineering team. Oscar is the first health ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

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Software Engineer Fraud Detection information

What does a Software Engineer in Fraud Detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a Software Engineer in Fraud Detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

How does a Software Engineer in Fraud Detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.
What are popular job titles related to Software Engineer Fraud Detection jobs in Arizona? For Software Engineer Fraud Detection jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Arizona look for? The top searched job categories for Software Engineer Fraud Detection jobs in Arizona are:
What cities in Arizona are hiring for Software Engineer Fraud Detection jobs? Cities in Arizona with the most Software Engineer Fraud Detection job openings:
Fraud Decisioning Analyst

Fraud Decisioning Analyst

US Bank

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 358 frontline employees who took The Breakroom Quiz

44th of 149 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

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

The Fraud Decisioning Analyst provides advanced analytics to evaluate and enhance fraud decisioning, performance, and queue dynamics across enterprise alert volumes within the Fraud Mitigation Solutions (FMS) organization.

This role applies advanced, datadriven analysis to evaluate how fraud decisioning performs in production-focusing on alert drivers, decision accuracy, and queue efficiency across enterprise volumes. By identifying performance gaps, inefficiencies, and emerging risks within the fraud mitigation lifecycle, the analyst enables more effective, efficient, and riskaligned decisioning at scale.

The Fraud Decisioning Analyst translates complex executionlevel analytics into actionable insights that improve fraud detection outcomes, reduce customer friction, and support sustainable workload management across fraud mitigation teams. This role does not design or implement rules, but instead provides the analytical foundation to inform enhancements to decisioning strategies, alert performance, and workflow execution.

Key Responsibilities

  • Analyze fraud decisioning performance across enterprise alert volumes, evaluating alert drivers, decision outcomes, false positive rates, and queue dynamics to identify performance gaps and inefficiencies.

  • Assess endtoend alert lifecycle and workflow performance, including queue throughput, capacity utilization, and case handling efficiency, to improve operational effectiveness and scalability.

  • Conduct rootcause analysis on alert behavior and decision outcomes, identifying drivers of unnecessary alerts, missed detection opportunities, and workflow bottlenecks.

  • Develop and maintain performance metrics and reporting frameworks that provide transparent, consistent views of alert effectiveness, benefit, decision accuracy, and operational impact.

  • Identify and quantify optimization opportunities to improve fraud detection outcomes, reduce customer friction, and balance workload across fraud mitigation teams, using data-driven analysis.

  • Translate complex, execution-level analytics into actionable insights and recommendations, enabling stakeholders to improve decisioning outcomes and workflow efficiency.

  • Partner with Fraud Mitigation Solutions (FMS) and Fraud Strategy teams to align on performance insights, validate findings, and support continuous improvement initiatives.

  • Support evaluation of fraud controls and decisioning approaches in production, providing analytical input on performance impacts without directly designing or implementing rules.

  • Monitor emerging trends, anomalies, and shifts in alert behavior to identify new risks, changing fraud patterns, or degradation in performance.

  • Ensure analytical rigor and data integrity, validating assumptions, methodologies, and outputs to support confident, decision-ready insights.

Additional Expectations

  • Leverage approved AIenabled productivity tools to improve efficiency, quality, and effectiveness of work outputs, applying sound judgment to validate results and ensure responsible, compliant use in accordance with company policies.

  • Develops and delivers datadriven insights and narratives to inform decisionmaking and support business objectives.

  • Perform additional duties and assume evolving responsibilities as needed to support changing business priorities, organizational needs, and strategic objectives.

  • Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures.

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Typically more than eight years of applicable experience

Preferred Skills/Experience
- Comprehensive knowledge of all departmental data sources, and of fraud risk and operations management associated with the product lines
- Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends
- Strong project management skills
- Effective verbal and written communication skills
- Proficient computer navigation skills using a variety of software packages including Microsoft Office applications and data analysis software

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: $119,765.00 - $140,900.00

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.


What U.S. Bank employees say

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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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