ZipRecruiter

Log In

1

Fraud Detection Machine Learning Jobs in Texas (NOW HIRING)

Fidelity Investments

Data Scientist

Westlake, TX · On-site

$83K - $158K/yr

The Team Fraud Risk & Control Detection is a growing team of analysts, data scientists, and machine learning engineers building out fraud detection capacities within Fidelity. The Expertise You Have ...

New

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Fraud ADUS Key Responsibilities: * Develop and implement end-to-end ML models for fraud detection ... Advanced degrees are a plus. * 5 years of experience in data science and machine learning.

American First Finance

Data Scientist

Coppell, TX · On-site

Develop and maintain machine learning models for credit risk, fraud detection, and marketing performance * Create and deliver clear reports and presentations to business stakeholders * Automate ...

American First Finance

Data Scientist

Coppell, TX

Develop and maintain machine learning models for credit risk, fraud detection, and marketing performance * Create and deliver clear reports and presentations to business stakeholders * Automate ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Fine-tune and deploy computer vision and deep learning models for object detection, object tracking ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

9 Mothers

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

Responsibilities : • Design, train, and iterate on machine learning models for detection, classification, and tracking of aerial targets. • Own the dataset pipeline end-to-end, including data ...

Trend Micro

Online New Affiliate Sales - RoW

Irving, TX · Remote

... machine learning for commission optimization, performance prediction, and automated partner scoring Technology and Operations * Own the affiliate technology stack: tracking platforms, fraud detection ...

Lendistry

Data Scientist I

Dallas, TX · On-site

... fraud detection, and loss mitigation strategies. • Develop and apply advanced statistical models and machine learning techniques to improve decision accuracy and risk management outcomes. • ...

next page

Showing results 1-20

All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Texas

Fraud Detection Machine Learning information

See Texas salary details

$10

$16

$25

How much do fraud detection machine learning jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for fraud detection machine learning in Texas is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $17.93 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Texas? For Fraud Detection Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Texas look for? The top searched job categories for Fraud Detection Machine Learning jobs in Texas are:
What cities in Texas are hiring for Fraud Detection Machine Learning jobs? Cities in Texas with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you
Fraud Strategy Analyst (Mid-level) - Money Movement

Fraud Strategy Analyst (Mid-level) - Money Movement

USAA

San Antonio, TX • On-site, Remote

$85K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

44th of 150 rated banks

Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Fraud Strategy Analyst, you will be accountable for driving USAA's overall fraud strategy, policies, and analytic capabilities for fraud rules management. This role will collaborate with key stakeholders across the enterprise, influencing outcomes in a complex, matrixed environment. This role will be an active participant in industry efforts to share and receive information, build industry partnerships and relations to formulate USAA's global fraud strategies and policies to better protect USAA from current, evolving, and future fraud threats.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.

Relocation assistance is not available for this position.

What you'll do:

  • Serves as an expert in at least one area of focus within Financial Crimes space to develop solutions for complex problems that align with the business's strategic direction and objectives.
  • Actively participates in and may take ownership of analyses or business strategy initiatives using innovative/quantitative analytical approaches.
  • Extract insights from moderately complex data sets to design solutions within the Financial Crimes space through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition and/or Machine Learning.
  • Utilizes association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, Tableau), and object-oriented programming (Python, SAS) to identify trends from existing data reports and recommends strategies/analysis that should be performed to mitigate risks.
  • Consults with the business to understand the business direction, environment and strategies for supported domains/clients; gathers requirements to recommend solutions.
  • Advocates for self and teammates to encourage the growth of direct and indirect peers toward continual technical and soft skill progression.
  • Serves as a resource for mathematical skills, business product knowledge, and/or Financial Crimes knowledge.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree; OR 4 years of relevant education and/or experience.
  • 4 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solutions.
  • Previous experience gathering business requirements and applying business rules to recommend technology solutions.
  • Demonstrated experience using fraud rules management to reduce or mitigate loss and fraud exposures.
  • Knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Knowledge of bank laws and regulations related to money movement and /or payments, including but not limited to Reg E, Reg CC, UDAAP, FACTA and Reg Z.
  • Strong written and verbal communication skills, with demonstrated ability synthesizing data and clearly reporting findings.

What sets you apart:

  • Fraud strategy experience in money movement space.
  • Experience using fraud detection engine for strategy rule writing.
  • Familiar with writing fraud strategy related Wire, ACH and Zelle.

Compensation range: The salary range for this position is: $85,040 - $162,550.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

What USAA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply