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Remote Fraud Risk Management Jobs in Dallas, TX (NOW HIRING)

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site +1

Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior Location: Addison, TX (5 days/week ... Hands-on experience applying AI to fraud management Benefits & Perks Compensation at Braviant is ...

RealPage, Inc.

Fraud Strategist

Richardson, TX · On-site +1

$77K - $132K/yr

Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management ... REMOTE Physical Demands and Working Conditions While performing the duties of this job, the ...

SquareTrade

Fraud Strategy Lead

Dallas, TX · On-site +1

... risk in an ever changing and evolving business environment ... This role applies strong domain knowledge to independently manage complex initiatives ...

DataBank

Insurance Risk Manager (Remote)

Dallas, TX · On-site +1

Insurance Program Management * Manage all corporate insurance programs (property, casualty, liability, auto, cyber, workers' comp, professional liability, OCIP/CCIP, builder's risk, and wrap-up ...

Genpact

Associate - FCRM 5A

Richardson, TX · On-site +1

... Risk Management, Credit Risk Analytics, Data Analytics, Enhanced Due Diligence, Fraud Analytics ... Type - Remote Work Shift - Rotating (United States of America) The approximate annual base ...

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Remote Fraud Risk Management information

See Dallas, TX salary details

$50.9K

$110.4K

$168.2K

How much do remote fraud risk management jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote fraud risk management in Dallas, TX is $110,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $127,600.00 per year, depending on experience, location, and employer.

How does a Remote Fraud Risk Management professional typically collaborate with cross-functional teams to mitigate risks?

Remote Fraud Risk Management professionals regularly work alongside departments such as IT, compliance, customer service, and legal to identify and address potential fraud threats. Collaboration often involves virtual meetings, sharing data insights, and developing joint strategies to detect suspicious activity. Effective communication and the ability to explain complex risk scenarios to non-specialists are crucial. This cross-functional teamwork ensures that fraud prevention measures are integrated throughout the organization and that responses to incidents are swift and coordinated.

What are the key skills and qualifications needed to thrive in Remote Fraud Risk Management, and why are they important?

To thrive in Remote Fraud Risk Management, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field, often supported by relevant certifications such as CFE (Certified Fraud Examiner). Familiarity with fraud detection software, data analysis tools, and case management systems is typically required. Excellent communication, critical thinking, and problem-solving abilities set top performers apart in this role. These skills and qualities are essential for effectively identifying, preventing, and responding to fraudulent activities in a remote environment.

What is the difference between Remote Fraud Risk Management vs Remote Fraud Analyst?

AspectRemote Fraud Risk ManagementRemote Fraud Analyst
CredentialsCertifications in fraud prevention, risk management, or related fieldsBasic knowledge of fraud detection, often with certifications like ACFE or similar
Work EnvironmentStrategic, policy development, and oversight roles within organizationsOperational, investigative roles focused on analyzing transactions and detecting fraud
Employer & Industry UsageFinancial institutions, e-commerce, and fintech companiesBanking, online retail, and payment processing companies
Search & Comparison IntentUnderstanding strategic risk management roles in fraud preventionOperational roles focused on fraud detection and analysis

Remote Fraud Risk Management involves developing policies and overseeing fraud prevention strategies, while Remote Fraud Analysts focus on analyzing transactions to detect and investigate fraud. Both roles are essential in combating fraud but differ in scope and responsibilities.

What is Remote Fraud Risk Management?

Remote Fraud Risk Management refers to the processes and strategies used to detect, prevent, and respond to fraudulent activities in digital environments, especially when employees and operations are distributed or working remotely. This role involves monitoring transactions, analyzing data for suspicious patterns, and implementing security measures to minimize risks. Professionals in this field work closely with IT, compliance, and legal teams to ensure that systems and data remain secure despite the challenges of remote work. Effective remote fraud risk management is critical for protecting organizations from financial losses and reputational damage.
What are the most commonly searched types of Fraud Risk Management jobs in Dallas, TX? The most popular types of Fraud Risk Management jobs in Dallas, TX are:
What are popular job titles related to Remote Fraud Risk Management jobs in Dallas, TX? For Remote Fraud Risk Management jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Fraud Risk Management jobs in Dallas, TX look for? The top searched job categories for Remote Fraud Risk Management jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Fraud Risk Management jobs? Cities near Dallas, TX with the most Remote Fraud Risk Management job openings:
Remote Fraud Risk Management jobs near you
Senior Fraud Risk Analyst

Senior Fraud Risk Analyst

Braviant Holdings

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 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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