1

Ai Risk Analyst Jobs in Dallas, TX (NOW HIRING)

... a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and ... Hands-on experience applying AI to fraud management Benefits & Perks Compensation at Braviant is ...

You have working knowledge of AI technologies * You have the ability to navigate complex ... Risk Analyst: * Working with a focus to level-up Information Security GRC at Crunchyroll

Senior Fraud Risk Analyst

Dallas, TX · On-site

$80 - $100/hr

... are looking for a Fraud Risk Analyst to help protect the business from identity fraud ... Hands‑on experience applying AI to fraud management Benefits & Perks Compensation at Braviant is ...

You have working knowledge of AI technologies * You have the ability to navigate complex ... Risk Analyst: * Working with a focus to level-up Information Security GRC at Crunchyroll

... a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and ... Hands-on experience applying AI to fraud management Benefits & Perks Compensation at Braviant is ...

Leverage approved AI, analytics, automation, and visualization tools to accelerate insight ... Collaborate closely with operations, technology, risk management, and crossfunctional teams to ...

Fraud Risk Analyst

Irving, TX · On-site

$120 - $141/hr

Leverage approved AI, analytics, automation, and visualization tools to accelerate insight ... Collaborate closely with operations, technology, risk management, and cross‑functional teams to ...

As a Risk Analyst 2, you will be responsible for analyzing the accurate and timely processing of ... Strategically leverage AI to create efficiencies Qualifications * 3-5 years of experience in ...

Showing results 21-40

Ai Risk Analyst information

See Dallas, TX salary details

$14

$38

$61

How much do ai risk analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai risk analyst in Dallas, TX is $38.04, according to ZipRecruiter salary data. Most workers in this role earn between $27.98 and $46.30 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 job categories do people searching Ai Risk Analyst jobs in Dallas, TX look for?

The top searched job categories for Ai Risk Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai Risk Analyst jobs?

Cities near Dallas, TX with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $79,117 per year, or $38 per hour.

Senior Credit Risk Analyst

Braviant Holdings

Dallas, TX • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Key responsibilities

  • Track and analyze key portfolio metrics including FPD, GNS, delinquency roll rates, and D2M performance across origination cohorts and risk segments

  • Build and maintain dashboards and recurring reporting that surface early warning signals and portfolio trends

  • Support the design and evaluation of originations strategies, score cutoffs, and underwriting policy changes across direct mail and digital channels


Job description

Title: Senior Credit Risk Analyst
Function: Credit Risk
Reports to: Head of Credit
Level: Mid-Level / Senior
Location: Addison, TX (5 days/week in-office)

Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.

Who We Are

Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime®, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.

We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role.

Position Summary

The Senior Credit Risk Analyst supports the full credit risk lifecycle at Braviant, from originations strategy and underwriting analytics to portfolio monitoring and loss forecasting. This is a highly technical, execution-focused role for someone who is equally comfortable writing production SQL/Python, building a segmentation strategy, and presenting findings to senior leadership. You will work directly with the Head of Credit to develop and refine the risk strategies that drive portfolio performance across our direct mail and digital lending channels.

This is a hands-on, high-impact role suited for someone who is analytical, detail-oriented, and biased toward action, not just case review. 

What You'll Be Doing
  • Track and analyze key portfolio metrics including FPD, GNS, delinquency roll rates, and D2M performance across origination cohorts and risk segments
  • Build and maintain dashboards and recurring reporting that surface early warning signals and portfolio trends
  • Conduct vintage analysis, loss curve development, and cohort-level performance reviews to support monthly and quarterly business reviews
  • Support the design and evaluation of originations strategies, score cutoffs, and underwriting policy changes across DM and digital channels
  • Analyze the performance impact of ongoing A/B tests and pricing experiments, translating results into actionable recommendations
What You Will Bring
Required
  • 3 to 5 years of experience in credit risk, consumer lending analytics, or a closely related quantitative role
  • Strong SQL skills; you write complex queries without a template
  • Strong experience with Python for data analysis and modeling
  • Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting
  • Ability to communicate analytical findings clearly to non-technical stakeholders
 
Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Familiarity with credit decisioning, underwriting strategy, or fraud detection
  • Experience working in a regulated financial services environment
  • Exposure to A/B testing, experimentation frameworks, or champion/challenger strategies
Benefits & Perks

Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:

  • Comprehensive healthcare including medical, dental, and vision coverage
  • Generous paid time off, including PTO, sick time, and 13 company holidays
  • 401(k) with company contribution
  • Participation in annual discretionary bonus plan
  • Regular team and company gatherings
Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.