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Remote Fraud Jobs in Texas (NOW HIRING)

Fraud Strategy Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Overview The Fraud Strategy Analyst is responsible for supporting the development, testing, and ... REMOTE Physical Demands and Working Conditions While performing the duties of this job, the ...

New

Fraud Specialist

Somerville, TX · Remote

$18.21 - $27.31/hr

Reviewing checks from previous day's work that the monitoring program deems possible fraud and ... As well as review and monitoring of remote deposited check throughout the day. Essential Functions:

This role is remote eligible in the continental U.S. with occasional business travel. What you'll do: * Responsible for insurance fraud detection and investigation services to reduce fraud-related ...

This role is remote eligible in the continental U.S. with occasional business travel. What you'll do: * Responsible for insurance fraud detection and investigation services to reduce fraud-related ...

Educate customers on fraud prevention, account security, and available protection measures ... Type - Remote Work Shift - Rotating (United States of America) The approximate annual base ...

Educate customers on fraud prevention, account security, and available protection measures ... Type - Remote Work Shift - Rotating (United States of America) The approximate annual base ...

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Remote Fraud information

See Texas salary details

$14

$28

$59

How much do remote fraud jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote fraud 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 some common challenges faced by professionals working in remote fraud detection roles?

Professionals in remote fraud detection roles often face challenges such as staying updated on rapidly evolving fraud tactics and maintaining effective communication with team members across different locations. Working remotely can require extra diligence in accessing secure systems and handling sensitive data safely. Additionally, collaborating with cross-functional teams such as IT, legal, and customer support is crucial to investigate and resolve complex fraud cases efficiently. Staying proactive and adaptable is key to success in a fast-paced, ever-changing fraud landscape.

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

To thrive as a Remote Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools, and relevant certifications such as Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving, communication, and decision-making abilities set top performers apart in this position. These skills are crucial for accurately identifying fraudulent activity, minimizing financial risk, and ensuring organizational security in a remote work environment.

What Are Remote Jobs in Fraud Investigations?

A fraud investigation service investigates potential instances of fraud, most typically as related to insurance or financial fraud. Fraud investigation services employ professionals with various roles, each with their own duties and responsibilities. For example, as a remote investigator, you work from home to collect evidence to determine whether or not the subject of the investigation committed fraud. Your duties include documenting your findings for potential civil or criminal litigation. Fraud investigation services sometimes employ remote customer service representatives whose responsibilities involve gathering information relevant to the fraud complaint from customers and updating them on the progress of their case.

What are remote fraud jobs?

Remote fraud jobs involve working from a location outside of a traditional office to detect, investigate, and prevent fraudulent activities in various industries such as banking, e-commerce, and insurance. Professionals in these roles use digital tools and data analysis to identify suspicious transactions, review customer activity, and protect organizations from financial losses. They may also collaborate with law enforcement and other departments to respond to incidents of fraud. Remote fraud specialists must have strong analytical skills, attention to detail, and knowledge of cybersecurity or financial regulations.

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

AspectRemote FraudRemote Fraud Analyst
CredentialsTypically requires knowledge of fraud prevention, certifications like CFE or CFCS beneficialRequires similar certifications, often with experience in fraud detection and analysis
Work EnvironmentRemote, often part of a fraud prevention or security team within a companyRemote, usually within a security or risk management department
Industry UsageUsed broadly across finance, e-commerce, banking, and insurance sectorsCommonly found in finance, banking, and online retail industries

Remote Fraud refers to the broader role of preventing and managing fraud remotely across various industries. Remote Fraud Analyst is a specific position focused on analyzing fraud cases, detecting patterns, and implementing prevention strategies. While both roles require similar skills and certifications, the Fraud Analyst typically performs detailed investigations and analysis, whereas Remote Fraud may encompass broader responsibilities in fraud prevention strategies.

What are the most commonly searched types of Fraud jobs in Texas? The most popular types of Fraud jobs in Texas are:
What job categories do people searching Remote Fraud jobs in Texas look for? The top searched job categories for Remote Fraud jobs in Texas are:
What cities in Texas are hiring for Remote Fraud jobs? Cities in Texas with the most Remote Fraud job openings:
Infographic showing various Remote Fraud job openings in Texas as of July 2026, with employment types broken down into 2% As Needed, 80% Full Time, 17% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $59,460 per year, or $28.6 per hour.

Fraud Strategy Analyst

RealPage, Inc.

Richardson, TX • On-site, Remote

$77K - $132K/yr

Other

Posted yesterday

New


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

224th of 241 rated software companies


Job description

Overview
The Fraud Strategy Analyst is responsible for supporting the development, testing, and ongoing optimization of fraud strategies, policies, rules, thresholds, and decision logic across RealPage's payments ecosystem. This role will focus on fraud prevention and detection across new account onboarding, tenant payments, vendor payments, owner draws, funding instruments, limit management, and payout activity.
This is a hands-on, technical role for a fraud professional with strong analytical skills, data science exposure, and mandatory SQL experience. The ideal candidate can query data independently, identify fraud patterns, test hypotheses, evaluate strategy performance, and translate findings into practical fraud controls while balancing risk mitigation, customer experience, operational workload, and business growth.
Responsibilities
Fraud Strategy, Policy & Controls
  • Support development and maintenance of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows.
  • Help build and optimize controls for payment fraud, onboarding risk, account takeover, business email compromise, counterparty fraud, tenant payment fraud, synthetic identity, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies.
  • Document strategy rationale, rule logic, expected impact, monitoring plans, policy considerations, change history, and recommended follow-up actions Analytics, Data Science & Rule Performance
  • Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction.
  • Apply analytical and data science methods to support feature exploration, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, and performance monitoring.
  • Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls.

Operational Feedback & Cross-Functional Execution
  • Partner with Onboarding Risk Operations and Risk Monitoring Operations to incorporate case outcomes, queue trends, investigator feedback, alert quality, and operational pain points into strategy improvements.
  • Review themes from Trust and Safety escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, or policy needs requiring durable remediation.
  • Collaborate with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflow, data availability, rule implementation, and control monitoring.
  • Provide concise updates on fraud trends, strategy performance, emerging risks, rule effectiveness, false positive impact, and recommended actions to fraud leadership and cross-functional stakeholders.

Qualifications
Required:
  • 3-5 years of full-time experience in fraud strategy, fraud analytics, payments risk, data science, financial crime, risk operations strategy, or a related technical risk function
  • Mandatory SQL experience, with the ability to independently query data, validate hypotheses, assess rule or control performance, and support fraud strategy development.
  • Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical methods used in fraud or risk decisioning.
  • Experience working with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations stakeholders.
  • Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or related field, or equivalent practical experience.

KNOWLEDGE/SKILLS/ABILITIES
Required:
  • Strong analytical curiosity and ability to connect fraud signals across disconnected tools, imperfect data, and evolving processes.
  • Ability to translate data findings into clear fraud strategy recommendations, rule changes, control improvements, and policy considerations.
  • Working knowledge of fraud typologies such as synthetic identity, first-party misuse, counterparty fraud, business email compromise, onboarding fraud, stolen payment instruments, tenant payment fraud, account takeover, or bust-out behavior.
  • Ability to evaluate fraud strategies using metrics such as loss exposure, fraud capture, precision, false positives, customer friction, queue impact, and post-launch performance trends.
  • Strong written and verbal communication skills, including the ability to summarize technical findings for fraud, product, operations, data science, and leadership audiences.
  • High ownership, sound judgment, attention to detail, and ability to balance fraud mitigation with customer experience, operational capacity, compliance considerations, and business growth.
  • Preferred experience with property management, rent payments, real estate technology, B2B payments, vendor payments, bill pay, embedded payments, merchant acquiring, fraud platforms, payment processor portals, device/identity signals, or decisioning platforms such as Oscilar.

#LI-AS2
#LI-REMOTE
Physical Demands and Working Conditions
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds.
Pay Range
USD $77,700.00 - USD $132,300.00 /Yr.

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