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

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

POSITION SUMMARY 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 ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Pacer Group

Risk Analyst I

Plano, TX · On-site

$31/hr

Analyze customer information, financial patterns, and transaction data to identify fraud and risk patterns and trends. * High-Stakes De-escalation : Serve as a calm, empathetic voice for merchants ...

Citizens

Fraud Operations Sr Professl

Irving, TX

You will also coordinate governance activities by conducting fraud risk assessments and by analyzing trends and business drivers to enhance performance, risk mitigation, and control effectiveness.

Citizens

Fraud Operations Sr Professl

Irving, TX

You will also coordinate governance activities by conducting fraud risk assessments and by analyzing trends and business drivers to enhance performance, risk mitigation, and control effectiveness.

Fortis

Senior Risk Analyst

Plano, TX

The Senior Risk Analyst will also be responsible for researching, resolving, and analyzing ... Investigate data and identify fraud trends and schemes & make system recommendations * Communicate ...

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How much do fraud risk analyst jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for fraud risk analyst in Dallas, TX is $42.84, according to ZipRecruiter salary data. Most workers in this role earn between $31.15 and $52.55 per hour, depending on experience, location, and employer.

What is the salary of a fraud analyst?

The average salary of a fraud risk analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial services or technology sectors.

What is the average salary of a fraud analyst?

The average salary of a fraud risk analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and industry. Professionals in this role often use data analysis tools and may require certifications such as Certified Fraud Examiner (CFE).

Is fraud risk a good career?

A career as a Fraud Risk Analyst involves identifying and preventing financial crimes, requiring skills in data analysis, attention to detail, and knowledge of fraud detection tools. It is a growing field with demand across industries such as banking, insurance, and e-commerce, offering opportunities for advancement and specialization. The role often requires certifications like Certified Fraud Examiner (CFE) and a strong understanding of regulatory environments.

What are the key skills and qualifications needed to thrive as a Fraud Risk Analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What does a fraud and risk analyst do?

A fraud and risk analyst investigates and identifies potential fraudulent activities and assesses risks within financial transactions or business operations. They analyze data using specialized tools, develop risk mitigation strategies, and ensure compliance with regulations to prevent financial losses and protect organizational assets.

What does a Fraud Risk Analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.

What are some common challenges faced by Fraud Risk Analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.
What are popular job titles related to Fraud Risk Analyst jobs in Dallas, TX? For Fraud Risk Analyst jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Fraud Risk Analyst jobs in Dallas, TX look for? The top searched job categories for Fraud Risk Analyst jobs in Dallas, TX are:
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Fraud Risk Analyst jobs near you
Infographic showing various Fraud Risk Analyst job openings in Dallas, TX as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $89,109 per year, or $42.8 per hour.
Senior Fraud Risk Analyst

Senior Fraud Risk Analyst

Braviant Holdings

Dallas, TX

Full-time

Posted 4 days ago

Job description

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person.

Who we are:
Braviant is a leading provider of tech-enabled credit products that combines 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 to help 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 by Crain’s Chicago, BuiltIn Chicago and American Banker.


POSITION SUMMARY

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.

This role is Addison, TX-based with a 5-day in-office requirement. 

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’LL 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
What it's like to work here:
We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on Glassdoor, BuiltIn and our Newsroom

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.