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Fraud Data Analyst Jobs in Texas (NOW HIRING)

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

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 ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site

$77K - $132K/yr

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 ...

Q2 India

Senior Fraud Response Data Analyst

Austin, TX · On-site

$120 - $160/hr

As a Senior Fraud Response Data Analyst, you will transform fraud data into actionable intelligence that strengthens fraud controls, protects customers, and supports strategic decision-making. As a ...

New

Q2

Senior Fraud Response Data Analyst

Austin, TX

$85K - $107K/yr

SUMMARY As a Senior Fraud Response Data Analyst, you will transform fraud data into actionable intelligence that strengthens fraud controls, protects customers, and supports strategic decision-making.

FIRST SERVICE CREDIT UNION

Fraud Manager

Houston, TX · On-site

Proven ability to analyze fraud data, identify trends, and implement effective detection/prevention strategies. Excellent decision-making, prioritization, and project management skills in a fast ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized ...

IntraEdge

GCP Data Engineer

Austin, TX

$113K - $136K/yr

... our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized ...

IBC Bank

Fraud Analyst

San Antonio, TX

Utilize the VISA Data Manager system for data analysis; develop processes for Fraud department related reporting. ESSENTIAL JOB FUNCTIONS The statements on this are intended to describe the general ...

Steampunk

Data Analyst

El Paso, TX · Hybrid

$50K - $115K/yr

This position focuses on data analysis for law enforcement support, requiring a combination of ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Morgan Stanley

Junior Data Analyst

Dallas, TX · On-site

$80K - $100K/yr

This is an Analyst level position within the NFR Data & Analytics team, which supports Financial Crime and Fraud stakeholders by delivering data preparation, analytics, and reporting used in ...

Steampunk

Data Analyst

El Paso, TX · On-site

$50K - $115K/yr

This position focuses on data analysis for law enforcement support, requiring a combination of ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Steampunk

Data Analyst

El Paso, TX · Hybrid

$50K - $115K/yr

This position focuses on data analysis for law enforcement support, requiring a combination of ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Steampunk

Data Analyst

El Paso, TX · On-site

$50 - $115/hr

This position focuses on data analysis for law enforcement support, requiring a combination of ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Morgan Stanley

Junior Data Analyst

Dallas, TX

$80K - $100K/yr

This is an Analyst level position within the NFR Data & Analytics team, which supports Financial Crime and Fraud stakeholders by delivering data preparation, analytics, and reporting used in ...

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All JobsFraud Data Analyst JobsFraud Data Analyst Jobs in Texas

Fraud Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do fraud data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for fraud data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What does a fraud data analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What are the key skills and qualifications needed to thrive as a fraud data analyst, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a typical day look like for a fraud data analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

What are popular job titles related to Fraud Data Analyst jobs in Texas?

For Fraud Data Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Fraud Data Analyst jobs in Texas look for?

The top searched job categories for Fraud Data Analyst jobs in Texas are:

What cities in Texas are hiring for Fraud Data Analyst jobs?

Cities in Texas with the most Fraud Data Analyst job openings:

Fraud Data Analyst jobs near you
Infographic showing various Fraud Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Fraud Data Analyst

RealPage, Inc.

Richardson, TX • On-site, Remote

$77K - $132K/yr

Other

Re-posted 26 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

225th of 245 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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