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Ai Risk Jobs in Wisconsin (NOW HIRING)

Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation. * Prioritize AI program and project roadmap into short, iterative deliverables ...

We are looking for a Risk Adjustment Analyst to join our team to train AI models ... You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to ...

We are looking for a Risk Adjustment Analyst to join our team to train AI models ... You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to ...

Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation. * Prioritize AI program and project roadmap into short, iterative deliverables ...

Identify risk factors, apply sound underwriting judgement, and ensure compliance with industry standards and insurance regulations. * Support the development of AI training data by contributing real ...

VP Enterprise AI Enablement

Adell, WI · On-site

$275K - $315K/yr

Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own AI investment ...

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. We are looking for a Director of Credit Risk to join our team to help train the next generation of AI while enjoying the flexibility of remote ...

S. & Bermuda Center for AI Enablement to help drive enterprise-wide AI adoption at scale. In this ... Experience supporting or contributing to governance, risk, compliance, or control frameworks in a ...

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 ...

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

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Showing results 1-20

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Wisconsin? The most popular types of Ai Risk jobs in Wisconsin are:
What are popular job titles related to Ai Risk jobs in Wisconsin? For Ai Risk jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Ai Risk jobs in Wisconsin look for? The top searched job categories for Ai Risk jobs in Wisconsin are:
What cities in Wisconsin are hiring for Ai Risk jobs? Cities in Wisconsin with the most Ai Risk job openings:

$80K - $90K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

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