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Ai Risk Analyst Jobs in Weston, CT (NOW HIRING)

Berkley

Senior Analyst/Analyst, ERM

Greenwich, CT · On-site

... risk and capital, and motivated to improve and automate existing processes using data and AI ... Analyze and visualize casualty accumulations by insureds, lines and industries to generate ...

DFO Referrals

Vendor Risk Manager

Westport, CT · Hybrid

You will synthesize risk across cybersecurity, AI, privacy, financial, and AML/CFT/sanctions ... Strong risk assessment and analytical skills * Technical understanding of enterprise security ...

Dalio Family Office

Vendor Risk Manager

Westport, CT · On-site

You will synthesize risk across cybersecurity, AI, privacy, financial, and AML/CFT/sanctions ... Strong risk assessment and analytical skills * Technical understanding of enterprise security ...

Dalio Family Office

Vendor Risk Manager

Westport, CT · Hybrid

You will synthesize risk across cybersecurity, AI, privacy, financial, and AML/CFT/sanctions ... Strong risk assessment and analytical skills * Technical understanding of enterprise security ...

DFO Referrals

Vendor Risk Manager

Westport, CT · On-site

You will synthesize risk across cybersecurity, AI, privacy, financial, and AML/CFT/sanctions ... Strong risk assessment and analytical skills * Technical understanding of enterprise security ...

Berkley

Senior Analyst/Analyst, ERM

Greenwich, CT · On-site

Enterprise Risk Management (ERM) Team Our key risk management aim is to maximize Berkley's return ... AI enabled tools, to streamline and automate recurring processes • Bachelor's degree or higher ...

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Ai Risk Analyst information

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$45

$74

How much do ai risk analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai risk analyst in Weston, CT is $45.72, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $55.67 per hour, depending on experience, location, and employer.

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 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.

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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What cities near Weston, CT are hiring for Ai Risk Analyst jobs?

Cities near Weston, CT with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Weston, CT as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $95,106 per year, or $45.7 per hour.

First Line Credit Risk Analyst - Assistant Vice President

Morgan Stanley

Purchase, NY • On-site

$85K/yr

Full-time

Re-posted 14 days ago

Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

33rd of 151 rated financial services

Job description

Morgan Stanley ("MS") is a global financial services firm that conducts its business through three principal business segments-Institutional Securities Group ("ISG"), Asset Management ("AM") and Wealth Management ("WM). WM includes almost 16,000 Financial Advisors and Private Wealth Advisors and offers comprehensive financial services to clients, such as brokerage, investment advisory, financial and wealth planning, annuities, insurance, retirement. In addition, the Private Banking Group ("PBG") offers WM clients cash management and lending solutions.
Job Summary
The PBG is building its first-line credit risk team to enhance credit risk oversight and activities across multiple-lending products. This role sits at the center of credit risk oversight, translating portfolio data into actionable insights and driving alignment across risk, business, and finance stakeholders. This is not a pure data science or model development role.
The candidate is expected to adapt and take on a variety of tasks but will be primarily focused on supporting ad-hoc reporting requests and helping to design and build automated reporting solutions. The role requires a minimum proficiency in data and reporting combined with a strong understanding of credit risk concepts applicable to private banking lending products such as Securities-based lending, Tailored Lending, Residential Mortgages, and Commercial Real Estate lending.
Success in this role is defined by the ability to use data and tooling to frame risk issues, guide decision-making, collaborate across multiple stakeholders, leverage firm-approved AI tools, and influence outcomes.
Job Description/Position Responsibilities
  • Gather, organize and transform complex data to deliver timely, accurate, and actionable insights and reports to support credit risk decision-making and strategic projects and initiatives.
  • Analyze and track portfolio metrics such as originations, limit monitoring, KRIs, loan quality, stressed credits, etc. by running data analytics across multiple databases to enable greater visibility of risk across the organization.
  • Support and help drive the oversight, coordination and management of stressed credit exposures across lending products and supporting and managing working group forums and risk committees.
  • Track progress on team initiatives, drive continuous improvement and efficiency, maintain documentation, drafting policies and procedures, mapping out processes, building decks and reports for senior management and regulators, etc.
  • Partner with stakeholders across multiple legal entities, businesses, financial and non-financial risk organizations, etc. to drive data-driven risk management initiatives.

Additional Experience and Skills
  • Minimum of 4 years of experience in financial services with emphasis on portfolio analytics and risk management.
  • BA in finance, economics, accounting, business, statistics or math; Advanced degrees / certifications are a plus.
  • Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau, Power BI) to support insights / reporting.
  • Skill using firm-approved AI tools to enhance analysis and productivity within governance frameworks preferred.
  • Solid understanding and experience working with databases and snowflake is preferred.
  • Experience designing automated reporting pipelines utilizing Python or SQL is preferred.
  • Experience translating regulatory and underwriting standards into data-driven controls is a plus.
  • Excellent interpersonal and communication skills; detail-oriented and effective in fast-paced environments.
  • Experience presenting analysis or risk insights to non-technical stakeholders or senior management is strongly preferred.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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About Morgan Stanley

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Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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