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Fraud Analytics Jobs in Texas (NOW HIRING)

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

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 ...

Fraud Risk Analyst

Irving, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Fraud Response Data Analyst

Austin, TX · On-site

$85K - $107K/yr

  • Medical

Provide thought leadership in fraud analytics, reporting automation, performance measurement, and emerging fraud threat analysis. * Lead efforts to improve fraud reporting effectiveness, analytical ...

Senior Fraud Response Data Analyst

Austin, TX · On-site

$85K - $107K/yr

  • Medical

Provide thought leadership in fraud analytics, reporting automation, performance measurement, and emerging fraud threat analysis. * Lead efforts to improve fraud reporting effectiveness, analytical ...

Lead Data Scientist - Fraud Analytics Location: Dallas, TX (100% Onsite) Experience: 8-12 Years Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analytics, Machine ...

New

Fraud Investigative Analyst

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data analytics skills and ability to interpret data to identify trends • Experience conceptualizing and implementing fraud prevention policies and procedures. • Knowledge of account takeover ...

Fraud Strategy Analytics (Mid-level) - Money Movement

Plano, TX · On-site +1

$85K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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 ...

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 ...

Fraud Operations Specialist

Austin, TX · On-site +1

$81K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Fraud Operations Specialist

Austin, TX · Remote

$81K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

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 ...

Showing results 21-40

Fraud Analytics information

See Texas salary details

$14

$28

$59

How much do fraud analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for fraud analytics 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 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.

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 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.

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.

How do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

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.

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 does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.

What are the most commonly searched types of Fraud Analytics jobs in Texas?

The most popular types of Fraud Analytics jobs in Texas are:

What job categories do people searching Fraud Analytics jobs in Texas look for?

The top searched job categories for Fraud Analytics jobs in Texas are:

What cities in Texas are hiring for Fraud Analytics jobs?

Cities in Texas with the most Fraud Analytics job openings:

Infographic showing various Fraud Analytics job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $59,460 per year, or $28.6 per hour.

Fraud Risk Analytics Manager

Citizens

Irving, TX • Hybrid

$106K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

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 practical, scalable solutions under time constraints and scope changes. This individual will partner closely with business leaders, first- and second-line risk teams, fraud operations, and product to drive measurable fraud risk reduction and improved customer outcomes.

Key Responsibilities

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entitylevel fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprisewide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and wellgoverned
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and nontechnical audiences, influencing decisionmaking at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Required Qualifications

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problemsolving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity
  • Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline

Technical Skills

  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including: 
    • Classification and regression techniques
    • Feature engineering
    • Model evaluation and performance monitoring

Preferred Qualifications

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customercentric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:00am-5:00pm Monday - Friday

Pay Transparency 

The salary range for this position is $106,000 - $130,000 per year. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

This role is not eligible for new employersponsored or current H-1 B visa holders. Applicants, including current OPT, L and other visa holders, must be authorized to work in the U.S. without the need for new employer sponsorship for themselves or their spouses now and in the future.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST