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Remote Fraud Analyst Jobs in Texas (NOW HIRING)

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 ...

Fraud Specialist

Somerville, TX · Remote

$18.21 - $27.31/hr

Analyze multiple programs that monitor for fraudulent activity on Debit Cards and Zelle ... As well as review and monitoring of remote deposited check throughout the day. Essential Functions:

... Analytics, Fraud Detection, Fraud Prevention, Information Security Risk Management, Internal ... Type - Remote Work Shift - Rotating (United States of America) The approximate annual base ...

Sr. Platform Integrity Analyst (Starlink)

Bastrop, TX · On-site +1

$87K - $115K/yr

React to investigate potential issues such as scams, fraud, and illicit goods/activities * Partner ... This position is based in Bastrop, TX and requires being onsite-remote work not considered * Must ...

Data Analyst, Mid

San Antonio, TX · On-site +1

$61K - $141K/yr

Remote Work: Hybrid Job Number: R0242987 Location: San Antonio,TX,US Share job via: Share Data ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Our solutions automate key processes - from anti-money laundering to fraud detection to CECL ... This position will be located at our office in Raleigh, NC, Austin, TX, or remote. What You'll Do:

Our solutions automate key processes - from anti-money laundering to fraud detection to CECL ... This position will be located at our office in Raleigh, NC, Austin, TX, or remote. What You'll Do:

Our solutions automate key processes - from anti-money laundering to fraud detection to CECL ... This position will be located at our office in Raleigh, NC, Austin, TX, or remote. What You'll Do:

Remote Department/Specialty: Research Support Services Schedule: Full Time, Monday- Friday, 8:00 -5 ... Fraud prevention notice Prospective applicants should be vigilant against fraudulent job offers and ...

Remote Department/Specialty: Research Support Services Schedule: Full Time, Monday- Friday, 8:00 -5 ... Fraud prevention notice Prospective applicants should be vigilant against fraudulent job offers and ...

Analyst, Regulatory Affairs

Dallas, TX · Remote

$28.30 - $37.15/hr

This is a remote position, open to candidates who reside in: Dallas, TX. You will be fully remote ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Data Analytics Analyst II

Austin, TX · Remote

$56K - $140K/yr

A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ... fraud. All information and credentials submitted in your application must be truthful and complete.

Senior Analyst - Analytics

Plano, TX · On-site +1

$84K - $111K/yr

... remote work on Fridays Senior Analyst - Analytics @ Toyota Financial Services Who we're looking for ... Fraud. * Our goal is to provide a consultative approach to answering business questions,driving ...

Security Data Analyst - Parsing

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... fraud. Its data from malware-infected devices, successful phishes, combolists, and third-party ...

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Showing results 1-20

Remote Fraud Analyst information

See Texas salary details

$14

$28

$59

How much do remote fraud analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote fraud analyst in Texas is $28.59, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $31.59 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Fraud Analyst, you need strong analytical abilities, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and relevant certifications such as CFE (Certified Fraud Examiner) are common requirements. Excellent communication skills, critical thinking, and the ability to work independently are valuable soft skills for this position. These skills are crucial for quickly identifying suspicious activities and effectively collaborating with cross-functional teams to mitigate risks.

What are some typical challenges faced by Remote Fraud Analysts, and how can they overcome them?

Remote Fraud Analysts often face challenges such as staying up to date with evolving fraud techniques, managing large volumes of transaction data, and effectively communicating findings with distributed teams. To overcome these challenges, it’s important to continuously participate in relevant training, leverage advanced analytical tools, and establish clear protocols for virtual collaboration. Many companies provide strong support structures, ongoing professional development, and access to collaborative platforms to help analysts excel in their roles. Being proactive in learning and maintaining open, timely communication ensures success and impactful contributions to a remote fraud prevention team.

What is a Remote Fraud Analyst job?

A Remote Fraud Analyst is responsible for detecting and preventing fraudulent activities by analyzing transactions, user behavior, and financial data from a remote location. They use fraud detection tools, risk assessment techniques, and company policies to identify suspicious activity and take necessary actions. Their role often involves reviewing flagged transactions, investigating fraud cases, and working with other teams to implement fraud prevention strategies. Strong analytical skills, attention to detail, and knowledge of fraud detection systems are essential for this position.

What are the most commonly searched types of Fraud Analyst jobs in Texas? The most popular types of Fraud Analyst jobs in Texas are:
What are popular job titles related to Remote Fraud Analyst jobs in Texas? For Remote Fraud Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Fraud Analyst jobs in Texas look for? The top searched job categories for Remote Fraud Analyst jobs in Texas are:
What cities in Texas are hiring for Remote Fraud Analyst jobs? Cities in Texas with the most Remote Fraud Analyst job openings:
Infographic showing various Remote Fraud Analyst job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $59,460 per year, or $28.6 per hour.
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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