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Fraud Analyst Jobs in Texas (NOW HIRING)

SoFi

Fraud Model Developer

Frisco, TX · On-site

You will also analyze model and product performance, identify key drivers of fraud losses, and translate complex findings into actionable recommendations for business and risk partners. This role ...

Q2

Principal Fraud Response & Governance

Austin, TX

You will work closely with Customer Support, Product, Security, Engineering, Data Analysts, Risk, Compliance, Legal, and Executive Leadership teams. You will ensure effective management of fraud ...

Wealthfront

Fraud Operations Specialist

Austin, TX · On-site +1

$81K - $90K/yr

Perform thorough analyses of account and transaction history to detect and elaborate on established patterns related to fraud and anti-money laundering (AML) typologies. * Conduct holistic account ...

Wealthfront

Fraud Operations Specialist

Austin, TX · Remote

$81K - $90K/yr

Perform thorough analyses of account and transaction history to detect and elaborate on established patterns related to fraud and anti-money laundering (AML) typologies. * Conduct holistic account ...

Wealthfront

Fraud Operations Specialist

Austin, TX · Remote

$81K - $90K/yr

Perform thorough analyses of account and transaction history to detect and elaborate on established patterns related to fraud and anti-money laundering (AML) typologies. * Conduct holistic account ...

Citizens

Fraud Operations Professional

Irving, TX · Hybrid

As the Fraud Operations Professional , you will support the Fraud and Claims Operations teams ... Analyze current-state business processes to identify inefficiencies, risks, and improvement ...

US Bank

Fraud Risk Analyst

Irving, TX

The Fraud Risk Analyst develops data-driven insights and strategies that strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and ...

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.

SignaPay

Risk Analyst - Payments Industry

Irving, TX · On-site

Risk / Fraud Analyst Reports To: Director of Risk Direct Reports: None Description Summary: Under general supervision, the risk analyst position is an individual contributor to a department ...

Treliant LLC

AML/KYC/Sanctions Analyst

San Antonio, TX · On-site

$20 - $25/hr

Treliant's Financial Crimes and Fraud Services business unit is looking for AML/KYC/Sanctions Analysts for a multi-year client engagement. This is an onsite opportunity, and all work will be ...

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All JobsFraud Analyst JobsFraud Analyst Jobs in Texas

Fraud Analyst information

See Texas salary details

$14

$28

$59

How much do fraud analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for 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 does a fraud analyst do?

As a fraud analyst, your responsibilities are to monitor bank accounts, financial transactions, accounting paperwork, and other financial documents and analyze the data to identify any potential fraudulent activity. Fraud analysts work in several fields, including insurance, municipal, state, and federal law enforcement, finance, and banking, and your duties differ depending on the type of institution or agency for which you work. However, your tasks generally include using sophisticated software to pick up on patterns of behavior by a financial institution, business, or individual.

What does a fraud analyst do?

A Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization, typically in the banking, finance, or retail sectors. They analyze transactions, monitor accounts for suspicious behavior, and use specialized software to identify patterns that may indicate fraud. Fraud Analysts work closely with other departments and law enforcement agencies to resolve cases and help develop strategies to minimize future risks.

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

To thrive as a Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor's degree. Familiarity with fraud detection software, data analysis tools like SQL or Excel, and relevant certifications such as CFE (Certified Fraud Examiner) are commonly required. Strong problem-solving, critical thinking, and effective communication skills help Fraud Analysts investigate suspicious activities and collaborate with other departments. These skills and qualifications are essential for accurately identifying fraudulent behavior, minimizing financial losses, and upholding organizational integrity.

What are some typical challenges faced by fraud analysts, and how can they be addressed?

Fraud Analysts often deal with the challenge of distinguishing between legitimate and suspicious activities in large volumes of data, which requires keen attention to detail and strong analytical skills. Another common challenge is keeping up with evolving fraud tactics and technologies. To overcome these, analysts regularly participate in ongoing training, leverage advanced detection tools, and collaborate closely with IT and compliance teams. Open communication and knowledge sharing within the team also play key roles in staying ahead of potential threats.

What is the difference between Fraud Analyst vs Compliance Analyst?

AspectFraud AnalystCompliance Analyst
Required CredentialsCertifications like CFE, ACFE, or fraud-specific trainingCertifications such as CRCM, CAMS, or compliance-specific courses
Work EnvironmentFinancial institutions, e-commerce, insurance companiesBanking, finance, healthcare, and regulatory agencies
Employer & Industry UsageFocus on detecting and preventing fraud activitiesFocus on ensuring adherence to laws and regulations

While both Fraud Analysts and Compliance Analysts work within financial and regulated industries, Fraud Analysts primarily focus on identifying and preventing fraudulent activities, whereas Compliance Analysts ensure organizations follow legal and regulatory standards. Both roles require similar certifications and often operate in overlapping environments, but their core responsibilities differ significantly.

How much do fraud analysts get paid?

Fraud analysts typically earn a median annual salary between $50,000 and $70,000, 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.

Is fraud analysis a good career?

Fraud analysis is a growing field that involves detecting and preventing financial crimes using data analysis and investigative skills. It offers opportunities for advancement, requires attention to detail, and often involves working with specialized software and industry regulations. Many professionals find it a stable and rewarding career path in finance and security sectors.

What qualifications do you need to be a fraud analyst?

A fraud analyst typically needs a bachelor's degree in finance, accounting, or a related field. Strong analytical skills, attention to detail, and experience with data analysis tools or fraud detection software are important. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects.
More about Fraud Analyst jobs

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

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Fraud Analyst jobs near you
Infographic showing various Fraud Analyst job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $59,460 per year, or $28.6 per hour.

Fraud Model Developer

SoFi

Frisco, TX • On-site

Full-time

Posted 16 days ago

Job description

Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
SoFi is seeking a Fraud Model Developer to join our Fraud Model Development team. In this role, you will develop, evaluate, and monitor machine learning models that support data-driven fraud and risk decisions across SoFi's products and services, including Personal Loans, Student Loans, Credit Cards, and Crypto.
You will build quantitative and machine learning solutions designed to reduce fraud losses, minimize false positives, lower operational costs, and protect SoFi members. You will also analyze model and product performance, identify key drivers of fraud losses, and translate complex findings into actionable recommendations for business and risk partners.
This role requires strong experience in machine learning, statistical modeling, data analysis, and model performance monitoring. You will work closely with Fraud Risk, Fraud Operations, Product, Engineering, Finance, Accounting, and other business teams to develop scalable fraud-modeling solutions and ensure model performance and loss trends are clearly communicated.
What you'll do
  • Develop quantitative, statistical, and machine learning models that reduce fraud losses, minimize false positives, and lower operational expenses associated with fraud complaints and disputes.
  • Aggregate, clean, and synthesize large datasets from multiple data environments to support model development and analysis.
  • Analyze complex datasets to identify fraud patterns, product-performance trends, and key drivers of losses across SoFi's products.
  • Design, test, validate, and recalibrate fraud models using appropriate statistical and machine learning methodologies.
  • Monitor model performance and identify model degradation, data drift, or changes in fraud behavior.
  • Conduct fraud-loss forecasting, sensitivity analyses, and scenario-based assessments to evaluate potential business impact.
  • Automate recurring model-monitoring processes, analytical reporting, and dashboards.
  • Investigate external risk data and industry trends to identify emerging fraud patterns and modeling opportunities.
  • Partner with Engineering and machine learning platform teams to support model implementation and production deployment.
  • Collaborate with Business Units, Operations, Product, Capital Markets, Finance, Accounting, and Risk partners to communicate fraud-loss expectations, model performance, and emerging trends.
  • Translate technical model results into clear recommendations that improve fraud strategies, member experiences, and operational outcomes.
  • Maintain model documentation and support ongoing model governance, validation, and performance-review activities.
What you'll need
  • Five or more years of experience in fraud modeling, loss forecasting, advanced quantitative modeling, machine learning, or a related field.
  • A master's or doctoral degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or another quantitative field, or equivalent relevant professional experience.
  • Advanced proficiency in Python and SQL for data analysis, feature development, and machine learning model development.
  • Experience creating analytical reports or dashboards using Tableau or a comparable data-visualization platform.
  • Demonstrated experience developing and evaluating statistical and machine learning models, including methods such as linear regression, logistic regression, decision trees, gradient boosting, random forests, neural networks, or clustering.
  • Hands-on knowledge of fraud-loss forecasting, fraud-reduction methodologies, or comparable risk-modeling techniques.
  • Experience monitoring model performance and recalibrating models in response to performance changes, data drift, or evolving business conditions.
  • Strong analytical and problem-solving skills, with the ability to evaluate complex datasets and communicate meaningful conclusions.
  • Ability to translate model results into measurable business outcomes, including fraud-loss reduction, false-positive improvement, member-friction reduction, or operational savings.
  • Demonstrated ability to work collaboratively across technical and nontechnical teams in a complex, fast-moving environment.
  • A proactive approach to identifying problems, driving change, learning new methodologies, and taking ownership of results.
Nice to have
  • Experience developing fraud models within financial services, fintech, banking, lending, payments, or digital assets.
  • Familiarity with graph databases, graph analytics, or network-based fraud-detection methods.
  • Experience developing, deploying, or productionizing machine learning models in an AWS environment.
  • Familiarity with machine learning operations, model governance, or automated model-monitoring frameworks.

Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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