ZipRecruiter

Log In

1

Data Scientist Fraud Detection Jobs in Texas (NOW HIRING)

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 ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

... data science * Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

... data science * Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and ...

Victory

Data Scientist

Austin, TX · On-site

Data Scientist responsibilities are ... Research and detect valuable data sources and automate collection processes * Perform preprocessing ...

US Bank

Fraud Prevention Analyst 4

Irving, TX

$105.40K - $124K/yr

... detection capabilities and reporting precision. Collaborates across teams to align strategy and elevate fraud controls through data-driven insights . * Key Responsibilities: * Monitor and analyze ...

Inizio Partners

Data Scientist

Houston, TX · On-site +1

Data Scientist Location: US Remote This resource will work specifically on anomaly detection within one of our plant operations projects. The purpose of this project is to scale anomaly detection ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related ... Experience identifying fraud patterns or working with fraud detection strategies (i.e. credit ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related ... Experience identifying fraud patterns or working with fraud detection strategies (i.e. credit ...

Victory

Data Scientist

Austin, TX · On-site +1

Data Scientist responsibilities are ... Research and detect valuable data sources and automate collection processes * Perform preprocessing ...

BOK Financial

Data Product Owner - Fraud

Addison, TX · On-site

... detect and prevent fraud. This team is a part of building the bank's next-generation data ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

next page

Showing results 1-20

People also search for

All JobsData Scientist Fraud Detection JobsData Scientist Fraud Detection Jobs in Texas

Data Scientist Fraud Detection information

What are the key skills and qualifications needed to thrive as a Data Scientist in Fraud Detection, and why are they important?

To thrive as a Data Scientist in Fraud Detection, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and knowledge of fraud detection platforms are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this field. These skills and qualities are crucial for identifying fraudulent activities quickly and accurately, minimizing financial losses, and supporting organizational security.

How does a Data Scientist in Fraud Detection typically collaborate with other teams to develop effective solutions?

As a Data Scientist in Fraud Detection, you will regularly collaborate with cross-functional teams such as fraud analysts, software engineers, and product managers. Working closely with fraud analysts helps you understand emerging fraud patterns, while partnering with engineers ensures your models are effectively integrated into real-time systems. You may also coordinate with compliance and legal teams to ensure solutions meet regulatory requirements. This collaborative approach not only improves the accuracy and impact of fraud detection models but also fosters a dynamic, supportive work environment.

What does a Data Scientist in Fraud Detection do?

A Data Scientist in Fraud Detection analyzes large datasets to identify patterns and anomalies that could indicate fraudulent activities. They use machine learning algorithms, statistical models, and data mining techniques to detect and prevent fraud in areas like banking, insurance, and e-commerce. Their work helps organizations proactively combat fraud by developing predictive models and automated systems that flag suspicious transactions. Additionally, they often collaborate with other departments to refine detection strategies and ensure compliance with regulations.

What is the difference between Data Scientist Fraud Detection vs Data Analyst Fraud Detection?

AspectData Scientist Fraud DetectionData Analyst Fraud Detection
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, basic analysis
Employer & Industry UsageFinancial institutions, e-commerce, insurance

Data Scientist Fraud Detection focuses on building predictive models and applying machine learning techniques to identify fraud patterns. Data Analysts Fraud Detection primarily perform data cleaning, reporting, and basic analysis to support fraud detection efforts. While both roles work in similar industries, Data Scientists handle more complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Data Scientist Fraud Detection jobs in Texas? For Data Scientist Fraud Detection jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Scientist Fraud Detection jobs in Texas look for? The top searched job categories for Data Scientist Fraud Detection jobs in Texas are:
What cities in Texas are hiring for Data Scientist Fraud Detection jobs? Cities in Texas with the most Data Scientist Fraud Detection job openings:
Data Scientist Fraud Detection jobs near you
Infographic showing various Data Scientist Fraud Detection job openings in Texas as of May 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Fraud Manager

Fraud Manager

FIRST SERVICE CREDIT UNION

Houston, TX • On-site

Full-time

Posted 15 days ago

Job description

Role:
Provide direct leadership and supervision to the Fraud Analyst team within Back Office Operations. Oversee all non-card fraud detection, investigation, dispute resolution, and loss-mitigation activities across Digital Banking, ACH origination, wire transfers, internal member-to-member transfers, Remote Deposit Capture (RDC), bill pay, and other electronic channels. Ensure 100% regulatory compliance with Regulation E, NACHA Operating Rules, UCC, FFIEC guidance, and internal policies while minimizing financial losses and delivering exceptional member experience. Monitor and identify emerging fraud activity, implement preventive measures, prepare executive-level fraud reports, serve as the primary liaison with law enforcement and vendors, and maintain current expertise through ongoing external training.
Essential Functions & Responsibilities:
Supervise, coach, and develop the Fraud Analyst(s). Responsibilities include hiring, training, scheduling, performance reviews, quality assurance reviews of investigations/disputes.
Oversee daily fraud operations for fraud coming in via non-card channels: ensure all alerts, disputes, and cases are actioned within required SLAs and regulatory timelines
Monitor team performance metrics (loss rates, recovery rates, alert response times, dispute win/loss ratios, provisional credit accuracy).
Continuously improve fraud detection and prevention: analyze emerging trends, recommend and implement rule changes in Verafin, Bioctach, digital banking platforms, and core fraud tools; coordinate testing and rollout of new detection strategies
Act as primary liaison with IT Security, Deposit Operations, Card Services, Compliance, and external partners (Visa, Pulse, Verafin, law enforcement) on non-card fraud-related matters, data compromises, and mass reissuance events
Perform other duties as assigned and remain current on evolving fraud typologies and regulatory changes.
Performance Measurements:
  1. Fraud team achieves 100% compliance with all regulatory timelines (Reg E, NACHA, UCC, network rules) with zero monetary penalties or exam findings. Combined non-card fraud loss rate and net loss ratio meet or fall below annual budgeted targets.
  2. Team dispute win/loss and recovery rates consistently meet or exceed industry benchmarks.
  3. Proactive rule enhancements and process improvements result in measurable year-over-year reduction in fraud attempts or losses.
  4. Accept individual accountability and responsibility for success of FSCU which includes meeting assigned goals/ projects.

Knowledge and Skills:
Experience: Three years to five years of similar or related experience.
Education: (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of a degree).
Interpersonal Skills: Strong leadership and coaching skills; frequent contact with staff, senior management, members (in distress), law enforcement, and regulators. Must excel at motivating teams during high-pressure events while maintaining professionalism and empathy.
Other Skills: Expert knowledge of Regulation E, NACHA Operating Rules, UCC, Visa/Pulse operating regulations. Advanced proficiency with fraud platforms, digital banking systems, ACH/wire platforms, and core processing systems. 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-paced environment. Strong written and verbal communication skills for executive reporting and member correspondence.
Physical Requirements: Standard office environment; occasional extended hours during major fraud events or compromises.
Work Environment: Professional office setting with the need for calm, decisive leadership during crisis situations.

Apply