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Ai Risk Analyst Jobs in Wisconsin (NOW HIRING)

Zywave is seeking an AI Operations Analyst to accelerate our data-driven transformation and unlock ... More than 15,000 insurers, MGAs, agencies, and brokerages trust Zywave to sharpen risk assessment ...

Develop early-warning performance and risk signals (quality, delivery, financial, geopolitical) and support BUs with trend analysis and scorecard/data troubleshooting. AI Automation & Digital ...

Develop early-warning performance and risk signals (quality, delivery, financial, geopolitical) and support BUs with trend analysis and scorecard/data troubleshooting. AI Automation & Digital ...

CIB Market Risk Associate

Madison, WI · On-site

$90K - $155K/yr

... analysis and support senior risk managers Lead project and change management efforts Participate in regulatory projects Utilize Python scripting (or similar languages) or AI to automate routine tasks ...

Ensure solutions comply with IT corporate cybersecurity and risk guidelines. Success in this role ... Analytical Thinking * Business Acumen What You'll Bring * Bachelor's degree in Project/Program ...

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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 Jun 9, 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 typically 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 are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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 are AI Risk Analysts?

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 are popular job titles related to Ai Risk Analyst jobs in Wisconsin? For Ai Risk Analyst jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Ai Risk Analyst jobs? Cities in Wisconsin with the most Ai Risk Analyst job openings:
Investment Risk Analyst

$80K - $90K/yr

Other

Posted 25 days ago


Job description

Investment Risk Analyst
Location US-WI-Milwaukee
ID 2026-1185
Position Type Full-Time
Category Investments
Overview

The Investment Risk Analyst supports daily valuation oversight and mutual fund risk management as part of the Allspring Investment Analytics team, partnering with internal stakeholders and external service providers to help ensure data quality, sound controls, and timely reporting

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days a week. This role may periodically require a shifted schedule, including evening hours, to support time-sensitive deliverables and issue resolution.

Location(s): Milwaukee, Wisconsin USA

Responsibilities
    Perform daily valuation oversight activities for mutual funds, including data review, exception tracking, and documentation.
  • Investigate pricing breaks, NAV exceptions, and other data quality issues; summarize findings, recommend next steps, and escalate as needed.
  • Produce, validate, and distribute risk reporting (daily/weekly/monthly/quarterly), including reasonability checks and variance explanations.
  • Partner with fund accounting, operations, risk, compliance, technology, and external providers (e.g., fund accountants and pricing vendors) to resolve issues, improve data quality, and support process continuity.
  • Support business initiatives and service provider or system changes impacting valuation or risk analytics, including requirements gathering, testing/UAT, parallel runs, and implementation documentation.
  • Build and enhance practical tools using Python code and AI tools to automate workflows, improve daily checks, and streamline risk and valuation processes.
  • Maintain and continuously improve procedures, controls, and audit-ready evidence.
  • Support ad hoc investment, risk, and valuation analysis and respond to stakeholder inquiries, under guidance of senior analysts.
Qualifications

Required Qualifications:

  • Bachelor's degree in finance, accounting, economics, mathematics, statistics, computer science, engineering, or a related field (or equivalent work experience).
  • Strong attention to detail and controls mindset with the ability to investigate exceptions, document work clearly, and escalate issues appropriately.
  • Clear written and verbal communication skills.
  • Strong quantitative and analytical skills with the ability to work accurately with large datasets.
  • Ability to use AI tools responsibly to accelerate research, documentation, and basic programming tasks while validating outputs and following firm policies.
  • Ability to learn and navigate multiple financial systems and data sources.
  • Flexibility to periodically work a shifted schedule, including evening hours, to support business needs.
  • Ability to work independently and collaboratively in a cross-functional environment.
  • Remain in stationary position for prolonged periods of time
  • Operate computer programs and software
  • Ability to communicate effectively with audiences in person and in electronic formats
  • Day-to-day contact with others (co-workers and/or public)
  • Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Preferred Qualifications:

  • 1-5 years of relevant experience (including internships/co-ops) in fund accounting/operations, pricing/valuation, performance, risk, investment research, or audit.
  • Experience with mutual fund operations concepts (e.g., NAV process, pricing sources, corporate actions, or fair valuation).
  • Progress toward CFA designation (CFA Level I candidate or passed Level I) preferred.
  • Intermediate proficiency with data and automation tools, including Excel, SQL Python, Power BI, and/or Tableau.
  • Familiarity with agentic AI concepts and experience developing AI-enabled workflows (e.g., prompt patterns, tool use, and validation/controls).
  • Familiarity with market data and risk platforms (e.g., Bloomberg).
  • Exposure to control frameworks and audit support (e.g., maintaining evidence, performing checklists/reconciliations, documenting procedures).

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.

Compensation

Base Pay Range: $80,000 - $90,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

Disclosure

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status