ZipRecruiter

Log In

1

Ai Risk Analyst Jobs in Michigan (NOW HIRING)

Deloitte

Finance Analytics and AI Manager

Detroit, MI · On-site

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... The Work You'll Do As a Finance Analytics & AI Manager on the Finance Transformation team, you will ...

Pwc

AI Engineer / Data Scientist, AI Manager

Detroit, MI · On-site

$99K - $297K/yr

... and risk management processes and related controls. Those in data, analytics and technology ... The Opportunity As part of the AI Engineering team, you will design, test, and deploy innovative AI ...

Pwc

AI Engineer / Data Scientist, AI Manager

Detroit, MI · On-site

$99K - $297K/yr

... and risk management processes and related controls. Those in data, analytics and technology ... The Opportunity As part of the AI Engineering team, you will design, test, and deploy innovative AI ...

FastTek

Business Analyst

Lansing, MI

Provides risk and compliance related support to the Security Accreditation Process Team and MDOC ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Pwc

AI Governance Sr. Manager

Detroit, MI

$119K - $337K/yr

... and risk management processes and related controls. Those in data, analytics and technology ... The Opportunity As part of the AI Governance team, you will enhance project delivery through ...

Deloitte

Financial Risk Senior Consultant

Detroit, MI

$115.30K/yr

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Strong analytical, critical thinking, and organizational skills * Enthusiasm for developing ...

Wwwinc

AI Engineer

Rockford, MI

Strong understanding of AI governance concepts, including risk, privacy, security, and lifecycle management. * Experience working in a cloud-based ecosystem (Azure preferred). * Strong analytical ...

Wolverine Worldwide

AI Engineer

Rockford, MI · On-site

Strong understanding of AI governance concepts, including risk, privacy, security, and lifecycle management. * Experience working in a cloud-based ecosystem (Azure preferred). * Strong analytical ...

Kiongroup

Sr Applied AI Engineer-Finance

Grand Rapids, MI

$113.63K - $174.23K/yr

Design, develop, and deploy machine learning models and AI solutions tailored to Finance use cases (e.g., forecasting, planning, variance analysis, anomaly and risk detection). * Build and maintain ...

next page

Showing results 1-20

People also search for

All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Michigan

Ai Risk Analyst information

See Michigan salary details

$13

$35

$57

How much do ai risk analyst jobs pay per hour?

As of May 29, 2026, the average hourly pay for ai risk analyst in Michigan is $35.29, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.93 per hour, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Ai Risk Analyst jobs in Michigan? For Ai Risk Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Michigan look for? The top searched job categories for Ai Risk Analyst jobs in Michigan are:
What cities in Michigan are hiring for Ai Risk Analyst jobs? Cities in Michigan with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you
AI & Analytics Innovation Senior Product Specialist

AI & Analytics Innovation Senior Product Specialist

Deloitte

Detroit, MI

Other

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
  • Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
  • Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
  • Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
  • Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
  • Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
  • Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The Team
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.


Qualifications
Required:
  • Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
  • 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
  • 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
  • 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
  • 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
  • Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available
Preferred:
  • Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
  • Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
  • Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
  • Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
  • Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
  • Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
  • Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
  • Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
  • Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
  • Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
  • Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
  • Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
  • Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
  • Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The Team
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.


Qualifications
Required:
  • Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
  • 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
  • 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
  • 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
  • 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
  • Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available
Preferred:
  • Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
  • Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
  • Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
  • Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
  • Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
  • Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
  • Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
  • Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply