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Ai Risk Analyst Jobs in Orlando, FL (NOW HIRING)

Background in ecommerce risk management and understanding new verticals such as Nutraceuticals, AI ... Strong analytical skills with a data-driven approach to identifying payment anomalies. * Ability to ...

This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Senior Cyber Security Analyst

Lake Mary, FL · On-site

$87K - $112K/yr

A security first mindset, strong analytical skills, and the ability to assess risk across both traditional IT systems and AI driven technologies are critical to success in this role. This position ...

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai risk analyst in Orlando, FL is $37.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.84 and $46.01 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 are popular job titles related to Ai Risk Analyst jobs in Orlando, FL?

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

What cities near Orlando, FL are hiring for Ai Risk Analyst jobs?

Cities near Orlando, FL with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Orlando, FL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $78,611 per year, or $37.8 per hour.

VP, Generative AI Risk Oversight

Synchrony Financial

Lake Mary, FL • On-site

$110K - $185K/yr

Full-time

Posted 4 days ago


Synchrony Financial rating

9.0

Company rating: 9.0 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

3rd of 152 rated financial services


Job description

Role Summary/Purpose:

The Operational Risk Management team is part of the 2nd Line of Defense (2LOD) within Synchrony.   The Risk Manager for AI, Generative AI, and Agentic AI is responsible for identifying, assessing and monitoring, risks arising from the design, development, deployment, and operation of AI-enabled capabilities. This role partners with the AI Solutions team to embed effective governance, controls, and assurance across the AI lifecycle. The position reports to the VP, Information Technology Oversight.

Essential Responsibilities

  • Engage the Information Technology organization in reviewing and assessing AI risk management practices and controls for AI/GenAI/Agentic AI solutions, ensuring risks are understood, measured, and managed in alignment with business objectives and risk appetite.
  • Risk assessment and control design: Perform or oversee AI risk assessments (use case, model, vendor, and process), documenting inherent/residual risk, control effectiveness, and remediation plans.
  • GenAI and LLM risk controls: Recommend guardrails for prompt/response safety, content moderation, jailbreak/prompt injection defenses, RAG data hygiene, retrieval security, and output verification.
  • Agentic AI controls: Establish policies and technical controls for tool access, authorization, least privilege, action confirmation, rate limiting, sandboxing, memory management, and Human-in-the-Loop approval for high-impact actions.
  • Model risk management: Partner with Model Validation/Analytics teams to define validation expectations (performance, robustness, bias/fairness, explainability, drift) and ensure independent review where required.
  • Security and privacy alignment: Coordinate with Security and Privacy teams on data classification, access control, encryption, secrets management, secure SDLC, privacy-by-design for AI solutions.
  • Regulatory and policy alignment: Maintain alignment with relevant standards and regulations (as applicable) and ensure internal AI policies and procedures are current and auditable.
  • Third-party and vendor risk: Conduct due diligence on AI vendors (foundation models, platforms, data providers) including security posture, data usage terms, IP considerations, and model transparency/documentation.
  • Incident response and issue management: Oversee triage, containment, communications, and lessons learned.
  • Monitoring and KRIs: Define and track AI risk metrics (e.g., safety events, policy violations, drift, override rates, hallucination indicators, agent action errors) and report insights to governance forums.
  • Training and enablement: Deliver risk guidance and training to product and engineering teams; promote responsible AI practices and documentation discipline.
  • Audit readiness: Ensure evidence collection, control testing support, and documentation standards to satisfy internal audit, regulators, and customer due diligence inquiries.
  • Perform formal assessments of technology risks using common processes within Risk Management, including Targeted Reviews, Concurrent Reviews and Continuous Monitoring
  • Monitor risks being accepted by the business and provide an independent assessment of the risk-taking activities
  • Attend and represent 2LOD at multiple Technology Strategic planning sessions including but not limited to: Responsible AI Working Group
  • Manage risks and issues within the Synchrony’s enterprise governance application (eGRC)
  • Perform other duties and/or special projects as assigned
  • Support 2nd Line of Defense processes such as the Enterprise Risk Assessment (ERA) and Risk and Control Self-Assessment (RCSA) processes

Qualifications/Requirements

  • Bachelor’s degree in Risk Management, Information Systems, Computer Science, Data Science, Engineering, Mathematics/Statistics, Cybersecurity, or a related field (or equivalent practical experience).
  • 6+ years in technology risk, model risk management, information security risk, compliance, operational risk, or assurance roles in a regulated bank or financial institution.
  • 1+ years supporting AI/ML or data-driven systems (or demonstrably equivalent exposure) in a regulated bank or financial institution.
  • Working knowledge of supervised/unsupervised learning, evaluation metrics, overfitting, data leakage, bias/fairness concepts, drift, and monitoring. Understanding of failure modes ((hallucinations, prompt injection, data exfiltration, jailbreaks), RAG architecture basics)
  • Familiarity with AI agents that plan and use tools (APIs), including risks introduced by autonomy (goal misalignment, unsafe actions, cascading failures) and control patterns (scoped tools, approvals, sandboxing).
  • Demonstrated experience creating risk assessments, control frameworks, KRIs/KPIs, and remediation plans; ability to articulate risk in business terms and quantify impact/likelihood where possible.
  • Strong capability to produce clear governance documentation (policies, standards, procedures, risk assessments, controls) and present to senior stakeholders.
  • Evidence of ongoing learning in AI risk, security, privacy, and compliance (courses, workshops, internal enablement, or certifications).
  • Ability and flexibility to travel for business as required

Desired Characteristics

  • Familiarity with information security and risk management concepts Proven analytical skills with strong attention to detail and quality control of work product
  • Experience in financial services or banking industry with understanding of financial services regulatory environment
  • Competencies: Risk-based decision making; stakeholder management; technical literacy in AI/GenAI/Agentic AI; strong writing and policy craftsmanship; facilitation and influence; analytical thinking; incident and issue management; pragmatic control design.
  • Experience in IT operations and/or application support
  • Experience with data sourcing and reporting processes with ability to design and implement new analytical capabilities
  • Experience with Internal Audits and/or Regulatory Exams and preparing materials to respond to external inquiries providing evidence and rationales and reasoning for provided materials
  • IT Project management experience
  • Proven experience working in an ambiguous environment with proven ability to explain complex concepts and support points of view
  • Strong presentation and communication skills (written and oral) with proven experience interacting with all levels of the organization
  • Experience writing formal reports to Senior and Executive levels of Management
  • Excellent interpersonal skills - ability to foster relationships and create informal networks, both internal and external
  • Curiosity with the ability to learn new concepts

Grade/Level: 12

The salary range for this position is 110,000.00 - 185,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. 

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older
  • You must have a high school diploma or equivalent
  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.  Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.  Employees, level 8 or greater, must have at least 18 months’ time in position before they can post.  All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. 

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627.   Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

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Risk Management

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