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Ai Risk Analyst Jobs in Connecticut (NOW HIRING)

Operational Risk Manager

Stamford, CT · On-site

$110K - $135K/yr

... AI driven and technology enabled risk initiatives within the region. • Perform monthly operational claims analysis, identifying trends, root causes, and leading risk indicators. • Translate ...

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 ...

Showing results 21-40

Ai Risk Analyst information

See Connecticut salary details

$14

$38

$62

How much do ai risk analyst jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai risk analyst in Connecticut is $38.51, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $46.88 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 are popular job titles related to Ai Risk Analyst jobs in Connecticut?

For Ai Risk Analyst jobs in Connecticut, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Ai Risk Analyst job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $80,107 per year, or $38.5 per hour.

Associate Director - Transformation

Apollo Global Management, Inc.

Greenwich, CT

$175K - $225K/yr

Full-time

Re-posted 24 days ago


Job description

Position Overview

Apollo is a high-growth, global alternative asset manager with approximately $938 billion of assets under management as of December 31, 2025. We seek to deliver excess return at every point along the risk-reward spectrum, from investment grade credit to private equity, through our fully integrated platform. Across our Asset Management and Retirement Services businesses, we provide innovative capital solutions and retirement products that expand opportunity and generate long-term value.

The Associate Director, Transformation Management will lead complex, cross-functional strategic and operational initiatives across Apollo's global platform. This role sits at the intersection of business strategy, digital enablement, and AI-driven operating model redesign. This individual will champion AI-first process redesign, institutionalize measurable value creation, and ensure transformation initiatives are executed with rigor, accountability, and alignment to Apollo's risk and governance standards.

Primary Responsibilities

  • Lead large-scale, cross-functional transformation initiatives from strategy through execution, accountable for scope, timelines, budget, risk management, and measurable outcomes

  • Redesign core operating workflows using AI-first principles, embedding automation, decision intelligence, and human-in-the-loop controls into target-state processes

  • Translate complex business challenges into AI-enabled operating models that improve scalability, risk management, operating leverage, and decision velocity

  • Conduct detailed current-state assessments, including process mapping, data flow analysis, and control evaluation, and develop future-state designs with clear performance metrics

  • Build value realization frameworks that quantify and track efficiency gains, quality improvements, risk reduction, capacity creation, and financial impact resulting from AI-driven redesign

  • Institutionalize repeatable methodologies for AI-enabled business process reengineering, including governance standards, control frameworks, model risk considerations, and performance measurement

  • Develop executive-level materials and financial analyses to support prioritization, investment approval, and steering committee decision-making

  • Serve as a senior stakeholder manager, driving alignment across business leaders, executive sponsors, and control functions while fostering a culture of continuous improvement and responsible innovation

  • Ensure redesigned workflows align with regulatory requirements, operational risk standards, and firmwide governance expectations

Qualifications & Experience

  • 6-8+ years of experience in corporate strategy, management consulting, digital transformation, or operational improvement, with increasing ownership of complex initiatives

  • Demonstrated experience leading enterprise-scale transformation efforts involving technology, data, and operating model redesign

  • Strong fluency in artificial intelligence and automation concepts, including machine learning applications, intelligent workflow automation, model governance considerations, and AI risk management frameworks

  • Superior analytical and financial modeling skills, with the ability to connect operational improvements to measurable economic value

  • Executive-level communication skills, including the ability to distill complex, multi-dimensional issues into clear recommendations for senior leadership

  • Proven ability to manage diverse stakeholders with competing priorities while maintaining momentum and accountability

  • Bachelor's degree from an accredited institution or equivalent experience; advanced degree (e.g., MBA or relevant technical master's degree) preferred

  • Experience within financial services, asset management, insurance, or other highly regulated environments

  • Direct experience deploying AI-enabled solutions into production environments, including change management and adoption strategies

  • Experience building value tracking dashboards or performance measurement frameworks tied to transformation initiatives

  • Demonstrated ability to institutionalize best practices and build scalable transformation playbooks across an organization

Pay Range

$175,000 - 225,000

Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity.

The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law.

The contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered.

The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance.Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.