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Ai Risk Analyst Jobs in Wisconsin (NOW HIRING)

Fraud Risk Analyst

Milwaukee, WI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Fraud Risk Analyst develops data-driven insights and strategies that strengthen fraud ... Additional Expectations Utilize approved analytics, AI, and technology solutions while applying ...

GRC Analyst I

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The GRC Analyst I also supports emerging AI Governance initiatives by assisting with the ... Support the organization's AI Governance program through documentation, inventories, risk ...

GRC Analyst I

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The GRC Analyst I also supports emerging AI Governance initiatives by assisting with the ... Support the organization's AI Governance program through documentation, inventories, risk ...

WI · On-site

$200 - $220/hr

Lead AI risk assessment and model governance aligned with NIST AI RMF, EU AI Act, and emerging ... MTTD, MTTR, alert‑to‑ticket ratio, and analyst utilization -- reported to leadership monthly.

WI · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI risk, including compliance with enterprise data, AI, security, privacy, and regulatory policies.* Partner with enterprise architecture, security, infrastructure, software engineering, analytics ...

WI · On-site

$120 - $150/hr

Your Profile * 8+ years in AI, Data Analytics, or Digital Transformation, with proven business ... Knowledge of GenAI, data governance, and AI risk frameworks is a plus. * Fluent in English and ...

The VP, Analytics and AI partners closely with IT, Digital, Lending, Finance, Risk, Marketing, Operations, and other business leaders to identify high-value opportunities, deliver actionable insights ...

The VP, Analytics and AI partners closely with IT, Digital, Lending, Finance, Risk, Marketing, Operations, and other business leaders to identify high-value opportunities, deliver actionable insights ...

WI · On-site

$180 - $240/hr

  • Medical

  • Life

  • Retirement

  • PTO

Monitor and respond to AI-driven security threats, including adversarial AI attacks, deepfake fraud ... Extensive knowledge of information security principles, including risk management, threat analysis ...

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Ai Risk Analyst information

See Wisconsin salary details

$15

$40

$66

How much do ai risk analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai risk analyst in Wisconsin is $40.86, according to ZipRecruiter salary data. Most workers in this role earn between $30.10 and $49.76 per hour, depending on experience, location, and employer.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What job categories do people searching Ai Risk Analyst jobs in Wisconsin look for?

The top searched job categories for Ai Risk Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai Risk Analyst jobs?

Cities in Wisconsin with the most Ai Risk Analyst job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 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 Risk Analyst develops data-driven insights and strategies that strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and the end-to-end account lifecycle. This role combines advanced analytics, strategic problem-solving, and cross-functional collaboration to identify emerging fraud risks, uncover root causes, and support proactive loss mitigation.

The analyst works with a broad range of 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 proactive loss mitigation across the account lifecycle.

Develop data driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency.

Collaborate with a broad range of internal stakeholders and external partners to evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning.

Translate complex analytical findings into clear, executive ready insights that inform enterprise fraud strategy, prioritization, and decision making.

Evaluate the effectiveness of fraud controls and initiatives using key metrics, scenario analysis, and model adjacent analytics; identify control gaps and recommend targeted enhancements.

Drive value led prioritization through cost benefit analysis, focusing resources on initiatives that deliver the greatest fraud risk reduction and business value while adhering to regulatory and internal control requirements.

Develop recurring analytics, performance assessments, and recommendations that measure fraud-control effectiveness, authentication performance, fraud trends, and operational outcomes.

Evaluate authentication strategies, fraud-detection rules, and contact-center fraud controls through data-driven analysis to identify performance gaps and optimization opportunities.

Support testing, implementation reviews, and post-implementation assessments of fraud-control enhancements, rule changes, and decisioning strategies.

Develop presentations, analytical summaries, and supporting materials for leadership discussions and monthly business reviews (MBRs), translating complex findings into actionable insights.

Additional Expectations

Utilize approved analytics, AI, and technology solutions while applying appropriate judgment and validation of results.

Demonstrate strong written, verbal, and presentation communication skills.

Effectively translate complex analytical findings into clear and actionable insights.

Manage multiple assignments and priorities while meeting established deadlines.

Basic Qualifications

Bachelor's degree or equivalent work experience.
Typically more than six years of applicable experience

Required Programming Experience

Six or more years of hands-on SAS programming experience is required. Experience with SQL, Python, and other analytical tools is preferred.

Preferred Skills/Experience

Bachelor's degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field.

Extensive data analytics experience in fraud analytics, fraud prevention, risk management, financial services, cybersecurity, or a related field, and experience translating findings into business recommendations.

Knowledge of financial services products, systems, and data, preferably within the fraud domain.

Proficient computer skills, especially Microsoft Office applications and data analysis software.

Experience developing analytics, performance assessments, presentations, and recommendations that support business decision-making.

Excellent presentation, interpersonal, written, and verbal communication skills.

Exceptional problem solving, critical thinking, and troubleshooting skills.

Ability to prioritize and manage multiple tasks while establishing responsible deadlines.

Flexibility in day-to-day work and tolerance for ambiguity.

Positive 'can-do' attitude and a strong desire to continue to learn and ask questions.

The ability to work well in a team environment.

Ability to build relationships cross-functionally and over the phone.

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.

Experience evaluating fraud-control effectiveness, fraud-detection strategies, authentication approaches, and fraud-prevention capabilities through data-driven analysis.

Experience supporting contact-center fraud controls, authentication strategies, and fraud-rule performance assessments.

Ability to translate analytical findings into clear business recommendations and presentations for leadership audiences.

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 - $124,000.00

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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