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Ai Risk Analyst Jobs in Ohio (NOW HIRING)

$115K - $148K/yr

... analytics. We partner with organizations to solve complex business problems through innovative ... Design AI operating models and governance frameworks, including responsible AI, risk management ...

AI Solutions Analyst

Columbus, OH · Hybrid

$89K - $111K/yr

Description AI Solutions Analyst - Downtown Columbus, Ohio (Hybrid) The Ohio Public Employees ... Familiarity with data privacy, information security, and risk management concepts related to ...

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

We are looking for a Reinsurance Analyst to support financial reporting, risk analysis, and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

We are looking for a Reinsurance Analyst to support financial reporting, risk analysis, and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Applied AI Data Scientist

Columbus, OH · On-site

$90K - $135K/yr

The Hartford is expanding its Data Science, AI & Analytics capabilities to deliver nextgeneration AI, Generative AI, and Agentic AI solutions across underwriting, claims, risk analysis, and ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

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Ai Risk Analyst information

See Ohio salary details

$14

$38

$62

How much do ai risk analyst jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai risk analyst in Ohio is $38.49, according to ZipRecruiter salary data. Most workers in this role earn between $28.32 and $46.83 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 cities in Ohio are hiring for Ai Risk Analyst jobs? Cities in Ohio with the most Ai Risk Analyst job openings:
Business Analyst (AI / Analytics Exposure)

Business Analyst (AI / Analytics Exposure)

Lorven Technologies

Columbus, OH • On-site

Full-time

Posted yesterday


Job description

Business Analyst (AI / Analytics Exposure)
Columbus, OH
Contract

Job Description -
Role Summary
Looking for a Business Analyst with AI exposure who can act as a strong bridge between business stakeholders, data science / AI teams, and engineering. The ideal candidate will bring core BA skills (requirements, process modeling, stakeholder management) along with hands-on or working knowledge of AI/ML, analytics, and automation-driven use cases.
This role supports AI enabled transformation initiatives, including process automation, intelligent decisioning, predictive analytics, and agentic assisted workflows.
Key Responsibilities
Business & Functional Analysis
Elicit, analyze, and document business, functional, and non-functional requirements for AI enabled solutions.
Work closely with business stakeholders to identify AI / analytics use cases that improve efficiency, productivity, risk control, or customer experience.
Translate business problems into AI problem statements (e.g., prediction, classification, recommendation, NLP use cases).
Create process flows, user journeys, use cases, and acceptance criteria for AI-driven capabilities.
Support UAT, validation of AI outputs, and business sign off.
AI / Data Collaboration
Act as a liaison between business, data science, and engineering teams.
Support definition of:
Training data requirements
Data quality rules
Model assumptions and constraints
Assist in interpreting model outputs, confidence scores, explainability (XAI), and business impacts.
Partner with teams delivering ML models, LLM based solutions and agentic AI capabilities.
Process & Automation Enablement
Support automation initiatives by mapping as is / to be processes and measuring productivity gains.
Track benefits such as cost optimization, cycle time reduction, productivity uplift, and quality improvements.
Governance & Documentation
Ensure compliance with data privacy, model governance, and regulatory expectations (especially in BFSI environments).
Maintain structured documentation:
BRDs / FRDs
AI use case canvases
Data dictionaries
Model impact assessments
Required Skills & Experience
Core BA Skills
10+ years of experience as a Business Analyst / Techno Functional BA.
Strong experience in:
Requirements gathering
Stakeholder management
Agile delivery (user stories, backlog grooming)
AI / Analytics Exposure (Must Have)
Working knowledge of:
Machine Learning concepts (supervised/unsupervised learning)
NLP / LLM use cases (chatbots, summarization, classification)
Predictive & descriptive analytics
Agentic AI frameworks
AI assisted SDLC tools
Experience working alongside:
Data scientists
AI engineers
Analytics teams
Ability to translate AI outputs into business friendly insights.
Note: Hands on model building is not mandatory, but conceptual clarity and applied usage is expected.
Nice to Have Skills
Familiarity with:
Cloud platforms (AWS / Azure / GCP - AI services)
Data platforms (Snowflake, Databricks, BigQuery)
BFSI / regulated domain exposure (Risk, Ops, Compliance, Customer Analytics).
Key Success Factors
Ability to bridge business intent and AI capability
Strong analytical and storytelling mindset
Comfort operating in ambiguity and emerging AI use cases

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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