Develop data-driven insights and strategic recommendations that strengthen fraud prevention and ... Bachelor's degree in Business, Finance, Computer Science, Business Analytics, Statistics ...
Develop data-driven insights and strategic recommendations that strengthen fraud prevention and ... Bachelor's degree in Business, Finance, Computer Science, Business Analytics, Statistics ...
Partner closely with data engineering and platform teams to ensure models are production-ready ... Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling ...
Quick apply
Partner closely with data engineering and platform teams to ensure models are production-ready ... Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling ...
Partner closely with data engineering and platform teams to ensure models are production-ready ... Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling ...
Partner closely with data engineering and platform teams to ensure models are production-ready ... Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling ...
Partner closely with data engineering and platform teams to ensure models are production-ready ... Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling ...
Partner closely with data engineering and platform teams to ensure models are production-ready ... Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling ...
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Director, Operations Analytics & Infrastructure
Phoenix, AZ · On-site
$208K - $258K/yr
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Director, Operations Analytics & Infrastructure
Phoenix, AZ · On-site
$208K - $258K/yr
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Director, Operations Analytics & Infrastructure
Phoenix, AZ · On-site +1
$208K - $258K/yr
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Quick apply
Director, Operations Analytics & Infrastructure
Phoenix, AZ · On-site +1
$208K - $258K/yr
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Director, Operations Analytics & Infrastructure
Phoenix, AZ · On-site
$208 - $258/hr
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Director, Operations Analytics & Infrastructure
Phoenix, AZ · On-site
$208 - $258/hr
... Fraud, and Complaints, and present recommendations to update or replace current KPIs. * AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review ...
Data Engineer (Full-time)
Phoenix, AZ · On-site
$113K - $136K/yr
The organization collaborates with banks and credit unions of varying sizes to help reduce fraud ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or ...
Data Engineer (Full-time)
Phoenix, AZ · On-site
$113K - $136K/yr
The organization collaborates with banks and credit unions of varying sizes to help reduce fraud ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or ...
Partner with data science and analytics teams to enable graph-based feature engineering and machine ... Enable enhanced fraud detection and prevention through network-based analysis of entities ...
Partner with data science and analytics teams to enable graph-based feature engineering and machine ... Enable enhanced fraud detection and prevention through network-based analysis of entities ...
Partner with data science and analytics teams to enable graph-based feature engineering and machine ... Enable enhanced fraud detection and prevention through network-based analysis of entities ...
Partner with data science and analytics teams to enable graph-based feature engineering and machine ... Enable enhanced fraud detection and prevention through network-based analysis of entities ...
Senior Data Modeler
Phoenix, AZ · On-site
$107K - $172K/yr
... Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis _____ JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to ...
Senior Data Modeler
Phoenix, AZ · On-site
$107K - $172K/yr
... Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis _____ JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to ...
Senior Data Engineer
Phoenix, AZ · On-site +1
$105K - $158K/yr
Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. Preferred Qualifications * Bachelor's degree in Computer Science ...
Senior Data Engineer
Phoenix, AZ · On-site +1
$105K - $158K/yr
Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. Preferred Qualifications * Bachelor's degree in Computer Science ...
Senior Data Engineer
Phoenix, AZ · On-site +1
$105K - $158K/yr
Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. Preferred Qualifications * Bachelor's degree in Computer Science ...
Senior Data Engineer
Phoenix, AZ · On-site +1
$105K - $158K/yr
Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. Preferred Qualifications * Bachelor's degree in Computer Science ...
Senior Data Engineer
Phoenix, AZ · On-site +1
$105K - $158K/yr
Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. Preferred Qualifications * Bachelor's degree in Computer Science ...
Senior Data Engineer
Phoenix, AZ · On-site +1
$105K - $158K/yr
Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. Preferred Qualifications * Bachelor's degree in Computer Science ...
Technical Product Manager - Data
Scottsdale, AZ · Hybrid
$168K - $194K/yr
... fraud analytics. * Experience working with terabyte size datasets. * Experience with change management and moving from on-prem to cloud. * Hands-on experience with Python or R, as a data scientist.
Technical Product Manager - Data
Scottsdale, AZ · Hybrid
$168K - $194K/yr
... fraud analytics. * Experience working with terabyte size datasets. * Experience with change management and moving from on-prem to cloud. * Hands-on experience with Python or R, as a data scientist.
Senior Fraud Risk Strategies Manager
Scottsdale, AZ · Hybrid
$154K - $193K/yr
... systems and data Minimum Qualifications * Education and experience typically obtained through ... Science or related field * 10 or more years' of relevant experience in fraud and risk-related ...
New
Senior Fraud Risk Strategies Manager
Scottsdale, AZ · Hybrid
$154K - $193K/yr
... systems and data Minimum Qualifications * Education and experience typically obtained through ... Science or related field * 10 or more years' of relevant experience in fraud and risk-related ...
New
AI Platform Director - Data Engineering
Phoenix, AZ · On-site +1
$251K/yr
Oversee development of ML models across all business units including Fraud detection systems ... Deep hands-on experience building production ML systems on AWS * 2+ years in AI/ML, data science ...
AI Platform Director - Data Engineering
Phoenix, AZ · On-site +1
$251K/yr
Oversee development of ML models across all business units including Fraud detection systems ... Deep hands-on experience building production ML systems on AWS * 2+ years in AI/ML, data science ...
AI Platform Director - Data Engineering
Phoenix, AZ · On-site +1
$251K/yr
Oversee development of ML models across all business units including Fraud detection systems ... Deep hands-on experience building production ML systems on AWS * 2+ years in AI/ML, data science ...
AI Platform Director - Data Engineering
Phoenix, AZ · On-site +1
$251K/yr
Oversee development of ML models across all business units including Fraud detection systems ... Deep hands-on experience building production ML systems on AWS * 2+ years in AI/ML, data science ...
Fraud Data Scientist information
See Arizona salary details
$42.9K - $59.6K
1% of jobs
$59.6K - $76.3K
2% of jobs
$76.3K - $93.1K
4% of jobs
$93.1K - $109.8K
9% of jobs
$124K is the 25th percentile. Wages below this are outliers.
$109.8K - $126.5K
11% of jobs
$126.5K - $143.3K
7% of jobs
The median wage is $148.6K / yr.
$143.3K - $160K
50% of jobs
$160K - $176.7K
2% of jobs
$176.7K - $193.5K
1% of jobs
$193.5K - $210.2K
0% of jobs
$210.2K - $226.9K
13% of jobs
$42.9K
$153.8K
$226.9K
How much do fraud data scientist jobs pay per year?
What is a fraud data scientist?
A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.
What are the typical daily responsibilities of a fraud data scientist?
A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.
What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?
To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.
What are the most commonly searched types of Fraud Data Scientist jobs in Arizona?
The most popular types of Fraud Data Scientist jobs in Arizona are:
What are popular job titles related to Fraud Data Scientist jobs in Arizona?
For Fraud Data Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Fraud Data Scientist jobs in Arizona look for?
The top searched job categories for Fraud Data Scientist jobs in Arizona are:
What cities in Arizona are hiring for Fraud Data Scientist jobs?
Cities in Arizona with the most Fraud Data Scientist job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 8 days ago
Key responsibilities
Analyze complex, multi-channel fraud trends and performance data to identify emerging risks, root causes, and opportunities for fraud loss reduction across the account lifecycle.
Develop analytical approaches and recommendations that address fraud risks, control effectiveness, and business priorities.
Evaluate fraud controls, authentication strategies, fraud-detection rules, and fraud-prevention capabilities through quantitative analysis to identify performance gaps and optimization opportunities.
U.S. Bank rating
8.1
Based on 364 frontline employees who took The Breakroom Quiz
67th of 175 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 DescriptionNOTE: Advanced SAS programming and advanced analytics experience is required for this position.
NOTE: This position is not eligible for current or future visa sponsorship.
Job Description
The Fraud Risk Analyst applies advanced analytics to evaluate fraud strategies, fraud controls, authentication solutions, and fraud-prevention capabilities across deposits, payments, digital channels, and the account lifecycle. The role focuses on identifying fraud risk, quantifying business impact, measuring control effectiveness, and developing data-driven recommendations that influence fraud strategy and business decisions.
This is an analytics-focused position. The successful candidate will independently perform data analysis from problem definition through recommendation development. The role is not primarily focused on reporting, dashboard production, or routine data requests. Success in this position requires identifying business problems, developing analytical approaches, quantifying business impact, and influencing fraud strategy through data-driven recommendations.
The analyst works with internal stakeholders and external partners to evaluate tools, data sources, and capabilities that enhance fraud detection and decisioning. By translating complex analytical findings into executive-ready insights and cost-benefit assessments, the role informs strategic decision-making while balancing fraud risk reduction, customer experience, operational efficiency, and financial impact.
Key Responsibilities
Analyze complex, multi-channel fraud trends and performance data to identify emerging risks, root causes, and opportunities for fraud loss reduction across the account lifecycle.
Independently develop analytical approaches and recommendations that address fraud risks, control effectiveness, and business priorities.
Develop data-driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing fraud risk, customer experience, and operational efficiency.
Evaluate fraud controls, authentication strategies, fraud-detection rules, and fraud-prevention capabilities through quantitative analysis to identify performance gaps and optimization opportunities.
Measure and quantify business impact, including fraud loss reduction opportunities, customer experience outcomes, operational efficiency improvements, and return on investment.
Develop business cases and cost-benefit analyses that support fraud strategy, prioritization, and investment decisions.
Translate complex analytical findings into executive-ready insights and recommendations that influence fraud strategy and business decisions.
Collaborate with internal stakeholders and external partners to evaluate fraud tools, data sources, and capabilities that enhance fraud detection and decisioning.
Basic Qualifications
Bachelor's degree or equivalent work experience.
Six or more years of relevant analytics experience.
Required Analytics Experience
Six or more years of advanced SAS programming and analytics experience is required. Experience evaluating fraud strategies, fraud controls, authentication solutions, and fraud-prevention capabilities through quantitative analysis is strongly preferred. Candidates should be capable of independently performing analytics from problem definition through recommendation development and translating findings into business recommendations and executive-ready insights.
SQL experience is strongly preferred.
Python experience is preferred.
Preferred Skills/Experience
Bachelor's degree in Business, Finance, Computer Science, Business Analytics, Statistics, Mathematics, Economics, or another quantitative field.
Extensive analytics experience in fraud analytics, fraud prevention, risk management, financial services, cybersecurity, or a related field.
Experience independently identifying business problems, developing analytical approaches, and translating findings into business recommendations.
Experience evaluating fraud strategies, fraud controls, authentication solutions, and fraud-detection tools through quantitative analysis.
Experience developing business cases that quantify fraud loss reduction, customer impact, operational efficiency improvements, and financial benefit.
Knowledge of financial services products, systems, and data, preferably within the fraud domain.
Strong problem-solving, critical-thinking, and analytical reasoning skills.
Ability to work with and influence at all levels of the organization, including senior leadership.
Understanding of fraud schemes, digital identity, authentication, and operational fraud processes.
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: $105,400.00 - $124,000.00U.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