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Ai Risk Analyst Jobs in Texas (NOW HIRING)

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

... 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 ...

Crunchyroll, LLC

Sr Risk Analyst

Dallas, TX · On-site

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

Crunchyroll, LLC

Sr Risk Analyst

Dallas, TX · Hybrid

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

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site +1

... 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 ...

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for ai risk analyst in Texas is $37.72, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

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 familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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 are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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 are AI Risk Analysts?

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 Texas? For Ai Risk Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Texas look for? The top searched job categories for Ai Risk Analyst jobs in Texas are:
What cities in Texas are hiring for Ai Risk Analyst jobs? Cities in Texas with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Texas as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $78,454 per year, or $37.7 per hour.
Senior Fraud Risk Analyst

Senior Fraud Risk Analyst

Braviant Holdings

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Title: Senior Data Scientist
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 who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves - including this role.
About the Role
We are building and scaling a high-performance consumer lending platform and are looking for a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and credit abuse. This role sits at the intersection of fraud, credit, and analytics, and will directly impact early loss performance and portfolio quality. You will be responsible for identifying fraud patterns, building detection strategies, and implementing controls that prevent bad actors from entering the portfolio. This is a hands-on, high-impact role suited for someone who is analytical, detail-oriented, and biased toward action, not just case review. You will work closely with Credit, Product, Operations and Engineering to ensure fraud risk is properly identified and separated from credit risk in decisioning.
What You'll Be Doing
  • Analyze application and early performance data to identify fraud patterns, including synthetic identity, first-party fraud, and credit abuse.
  • Develop and implement fraud detection strategies, including rules, thresholds, and decisioning logic.
  • Monitor early performance (e.g., FPD, zero-pay accounts) to identify potential fraud-driven losses.
  • Distinguish fraud risk vs credit risk, improving approval quality and reducing early loss.
  • Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data).
  • Design and execute tests to evaluate fraud strategies and improve detection performance.
  • Work with Product and Engineering to implement fraud rules and ensure accurate execution in production systems.
  • Investigate emerging fraud trends and proactively recommend changes to controls and policies.
  • Collaborate with Operations or servicing teams to improve fraud identification post-origination.
  • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.

What You Will Bring
Required
  • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
  • 4-6 years of experience in fraud, risk, or analytics, preferably in fintech, lending, or financial services
  • Strong analytical skills with experience using SQL, Python, Excel, or similar tools to analyze large datasets
  • Understanding of key fraud types, including synthetic identity and first-party fraud and familiarity with fraud tools (i.e. identity verification, device fingerprinting, consortium data)
  • Experience identifying fraud patterns or working with fraud detection strategies (i.e. credit washing etc.)
  • Ability to translate analysis into clear actions (rules, controls, strategy changes) and exposure to A/B testing, experimentation frameworks, or champion/challenger strategies
  • Passion for keeping your skills up to date and exploring new methodologies
  • The ability to distill complex problems and analysis into a clear and concise narrative

Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Hands-on experience applying AI to fraud management

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.

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