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Fraud Analytics Jobs in Dallas, TX (NOW HIRING)

RealPage, Inc.

Fraud Strategy Analyst

Richardson, TX · On-site

$77K - $132K/yr

Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls.

RealPage, Inc.

Fraud Strategy Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls.

Citizens Bank

Fraud Risk Analytics Manager

Irving, TX · On-site

$106K - $130K/yr

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering ...

Citizens

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering ...

US Bank

Fraud Risk Analyst

Irving, TX · On-site

This role combines advanced analytics, strategic problem-solving, and cross-functional collaboration to identify emerging fraud risks, uncover root causes, and support proactive loss mitigation. The ...

IntelliPro Group Inc.

Fraud Analyst/Admin

Plano, TX · Remote

Fraud Analyst/Admin Duration: 12+ Months Location: Plano, TX (Hybrid) Pay rate: $39/hr on W2 What we're looking for: * Looking for a candidate with experience and specific skills relevant to the job.

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All JobsFraud Analytics JobsFraud Analytics Jobs in Dallas, TX

Fraud Analytics information

See Dallas, TX salary details

$15

$30

$63

How much do fraud analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for fraud analytics in Dallas, TX is $30.35, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $33.51 per hour, depending on experience, location, and employer.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

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

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.
What are the most commonly searched types of Fraud Analytics jobs in Dallas, TX? The most popular types of Fraud Analytics jobs in Dallas, TX are:
What are popular job titles related to Fraud Analytics jobs in Dallas, TX? For Fraud Analytics jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Fraud Analytics jobs in Dallas, TX look for? The top searched job categories for Fraud Analytics jobs in Dallas, TX are:
Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $63,135 per year, or $30.4 per hour.

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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