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Fraud Detection Machine Learning Jobs in Texas (NOW HIRING)

SoFi

Fraud Model Developer

Frisco, TX · On-site

Familiarity with graph databases, graph analytics, or network-based fraud-detection methods. * Experience developing, deploying, or productionizing machine learning models in an AWS environment.

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...

Varsity Tutors

Machine Learning Tutor

Corpus Christi, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Carrollton, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

San Marcos, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Amarillo, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Grand Prairie, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Plano, TX · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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

Fraud Detection Machine Learning information

See Texas salary details

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

As of Aug 13, 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

Lead Data Scientist - Fraud Analytics

SmallArc, Inc

Dallas, TX • On-site

Other

Posted 2 days ago

New

Job description

<>Role: Lead Data Scientist - Fraud Analytics
Location: Dallas, TX (100% Onsite) 
 
Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions. The ideal candidate will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques.
 
Required Skills
Primary Skills
Fraud Analytics
Machine Learning
Graph Analytics
Feature Engineering
Dataiku
Agentic AI Architecture
Secondary Skills
Neo4j
Python
Model Explainability
Statistics
Experimentation Frameworks
Key Responsibilities
Lead fraud use case discovery and scenario design.
Define fraud detection strategies using business rules, Machine Learning, and graph techniques.
Identify predictive variables and build fraud feature catalogues.
Build and validate pilot fraud detection models.
Optimize precision, recall, and fraud catch rates.
Collaborate with engineering teams on low-latency scoring architectures.
Drive model explainability, governance, and compliance initiatives.
Support shadow runs and challenger model validation against existing systems.
Responsibilities Area
Data Science & AI Strategy
Solution Design & Model Development
Fraud Analytics & Investigation Insights
Technical Leadership
Team Mentoring & Stakeholder Management

Thanks & Regards 

Sami Singh 

Sr Lead Recruiter.

SmallArc Inc.

Contact no : 

  |  
860 US Highway 1, Suite 103 Edison NJ 08817

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