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Senior Risk Analyst Jobs in Arkansas (NOW HIRING)

Bank OZK

AI Risk Analyst

Little Rock, AR · On-site

Communicates and escalates matters of significant AI risk to senior management. * Partners with ... Strong analytical skills with high attention to detail and accuracy. * Highly self-directed with ...

Bank OZK

AI Risk Analyst

Little Rock, AR

Communicates and escalates matters of significant AI risk to senior management. * Partners with ... Strong analytical skills with high attention to detail and accuracy. * Highly self-directed with ...

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Senior Risk Analyst information

See Arkansas salary details

$44.2K

$90.8K

$117.8K

How much do senior risk analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior risk analyst in Arkansas is $90,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $113,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior risk analyst?

To thrive as a Senior Risk Analyst, you need strong analytical skills, a solid grasp of risk assessment methodologies, and typically a degree in finance, economics, or a related field. Proficiency with risk management software, data analysis tools like Excel, and familiarity with regulatory frameworks such as Basel III or SOX is often required. Attention to detail, critical thinking, and effective communication are crucial soft skills for identifying, evaluating, and reporting risks. These competencies are vital for ensuring accurate risk identification and mitigation, supporting sound business decisions, and maintaining regulatory compliance.

How does a senior risk analyst typically collaborate with other departments to identify and mitigate risks?

Senior Risk Analysts regularly work with teams across the organization, such as compliance, finance, operations, and IT, to identify emerging risks and implement mitigation strategies. They often participate in cross-functional meetings, provide insights from data analysis, and help develop policies that address both regulatory requirements and business objectives. Building strong working relationships and communicating complex risk scenarios in an accessible way are key to ensuring coordinated risk management efforts. This collaborative approach not only helps in early detection of potential issues but also fosters a proactive risk culture within the company.

What is the difference between Senior Risk Analyst vs Risk Analyst?

AspectSenior Risk AnalystRisk Analyst
Required CredentialsBachelor's degree, often certifications like FRM or CRMBachelor's degree, some certifications like FRM or CRM
Work EnvironmentFinancial institutions, insurance companies, consulting firmsFinancial firms, corporations, government agencies
Employer & Industry UsageUsed across finance, insurance, and consulting sectorsCommon in finance, banking, and insurance industries

The main difference is that Senior Risk Analysts typically have more experience, advanced certifications, and handle more complex risk assessments. They often lead projects and mentor junior staff, whereas Risk Analysts focus on data collection, analysis, and supporting risk management processes.

Do risk analysts make good money?

Risk analysts typically earn a competitive salary that varies by industry, experience, and location. According to industry data, the median annual wage for risk analysts is around $80,000, with experienced professionals earning over $100,000. Certifications like FRM or CRM can enhance earning potential, and strong analytical skills are essential in this role.

How much does a senior risk analyst make in the US?

A senior risk analyst in the US typically earns between $80,000 and $120,000 annually, depending on experience, industry, and location. They often require strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CRM.

What does a senior risk analyst do?

A senior risk analyst evaluates potential risks that could impact an organization’s financial health, operations, or reputation. They analyze data, develop risk mitigation strategies, and use tools like risk assessment software to inform decision-making. This role often requires strong analytical skills, industry knowledge, and relevant certifications such as FRM or CRM.

What is the salary of a senior risk analyst?

The salary of a senior risk analyst typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. They often require strong analytical skills and proficiency with risk management tools and software.

What are the most commonly searched types of Risk Analyst jobs in Arkansas?

The most popular types of Risk Analyst jobs in Arkansas are:

What are popular job titles related to Senior Risk Analyst jobs in Arkansas?

For Senior Risk Analyst jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Senior Risk Analyst jobs in Arkansas look for?

The top searched job categories for Senior Risk Analyst jobs in Arkansas are:

What cities in Arkansas are hiring for Senior Risk Analyst jobs?

Cities in Arkansas with the most Senior Risk Analyst job openings:

What are popular job titles related to Senior Risk Analyst jobs in AR?

For Senior Risk Analyst jobs in AR, the most frequently searched job titles are:

Senior Risk Analyst jobs near you
Infographic showing various Senior Risk Analyst job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $90,832 per year, or $43.7 per hour.

AI Risk Analyst

Bank OZK

Little Rock, AR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Bank OZK rating

8.2

Company rating: 8.2 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

51st of 173 rated banks

Job description

Why Bank OZK
Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We're nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We're investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.
The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.
Job Purpose & Scope
The Artificial Intelligence (AI) Risk Analyst role contributes to the Bank's AI Risk Management program by collaborating with Corporate Risk Management directors, senior leaders and business unit managers to ensure AI development, AI implementation and AI monitoring conform to the standards set forth by both the Bank's AI development and Risk Management framework and evolving regulatory guidelines. Serves as the central coordinator across multiple risk disciplines, including Information Security, Third Party Risk Management, Model Risk Management, Compliance and Operational Risk Management to ensure AI risks across the Bank are properly identified, assessed, monitored, documented, inventoried and remediated.
Essential Job Functions
  1. Supports the end-to-end management of the AI inventory, ensuring all AI use cases are accurately documented and maintained throughout their lifecycle.
  2. Serves as the central intake point for risk review of internally developed and third-party AI use cases. Communicates and escalates matters of significant AI risk to senior management.
  3. Partners with Third-Party Risk Management to ensure the completeness and accuracy of information required for conducting risk reviews and ongoing monitoring.
  4. Facilitates AI risk review and assessments by coordinating input from subject matter experts in Corporate Risk Management and other business users.
  5. Conducts AI use case tiering, consolidates risk review findings into pre-production conditions, prepares governance material and coordinates reviews and approvals through the Bank's governing bodies.
  6. Partners with the independent Model Risk Management (MRM) function to coordinate AI model validation activities and incorporate validation outcomes into the AI Risk Management process.
  7. Provides oversight of internally developed AI solutions through participation in the AI Working Group (AI-WG) to ensure adherence to industry best practices, integration of governance controls, and alignment with responsible AI principles throughout the AI development lifecycle.
  8. Develops and maintains executive and manager level risk related reporting and dashboards, ensuring alignment with strategic goals.
  9. Coordinates updates to the AI inventory for material changes, enhancements, and decommission events. Contributes to the development and maintenance of documentation and monitoring standards, and governance related workflows.
  10. Supports performance monitoring for AI use cases outside MRM scope, including definition of metrics, thresholds and escalation triggers to report performance degradation, unintended outcomes, or emerging risks post-production deployment.
  11. Assists Information Security and Third-Party Risk Management in identification and escalation of unauthorized use cases.
  12. Partners with Risk Data Science and Engineering to analyze risk and monitor data to identify trends and support identification of potential areas for remediation or governance focus.

Knowledge, Skills & Abilities
  1. Hand-on experience delivering or governing Generative AI and Agentic AI solutions within the financial services industry, fintechs or a highly regulated industry.
  2. Advanced level understanding of AI technologies, models, third-party and operational risks in the use of AI systems.
  3. In-depth knowledge of AI-related standards and best practices, such as the NIST AI Risk Management framework.
  4. Strong analytical skills with high attention to detail and accuracy.
  5. Highly self-directed with the ability to build subject-matter expertise rapidly in emerging risk areas, especially in the financial services industry.
  6. Ability to translate highly complex or technical information into actionable insights for both technical and non-technical audiences.
  7. Ability to prepare written deliverables and presentations for board and management committees, senior leaders, and business unit managers.
  8. Strong ability to exercise discretion and sound judgment in decision-making.
  9. Proven ability to partner effectively with multiple business groups, corporate areas, auditors, and regulators.
  10. Ability to lead and operate and work collaboratively in a fast-paced, unpredictable environment, with exacting deadlines.
  11. Strong project coordination skills and ability to manage multiple work streams and deliverables.
  12. Ability to travel as needed for business purposes.

Basic Qualifications
  1. Bachelor's degree and at least 2+ years of experience in computer science, information technology, economics, finance, artificial intelligence, machine learning, data science, or a related quantitative field; or commensurate work experience, required.
  2. Master's degree and 3+ years of experience with AI/ML, preferred.

Job Expectations
Operate customary equipment and technology used in a business environment, with or without accommodation.
Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time.
#LI-RV1
EEO Statement
Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.

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