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Fraud Risk Management Jobs in Dallas, TX (NOW HIRING)

Fraud Data Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Overview The Fraud Strategy Analyst is responsible for supporting the development, testing, and ... Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management ...

Overview The Fraud Strategy Analyst is responsible for supporting the development, testing, and ... Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management ...

Overview The Fraud Strategy Analyst is responsible for supporting the development, testing, and ... Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management ...

Set up and manage the Risk Management Framework : Establish appropriate risk policies and ... The risk identification should encompass not only integrity risks (such as AML/CFT and fraud) but ...

Set up and manage the Risk Management Framework : Establish appropriate risk policies and ... The risk identification should encompass not only integrity risks (such as AML/CFT and fraud) but ...

Set up and manage the Risk Management Framework : Establish appropriate risk policies and ... The risk identification should encompass not only integrity risks (such as AML/CFT and fraud) but ...

... risk in an ever changing and evolving business environment. This role applies strong domain knowledge to independently manage complex initiatives , contributing to fraud strategy development and ...

... risk in an ever changing and evolving business environment. This role applies strong domain knowledge to independently manage complex initiatives , contributing to fraud strategy development and ...

... risk in an ever changing and evolving business environment. This role applies strong domain knowledge to independently manage complex initiatives , contributing to fraud strategy development and ...

Showing results 21-40

Fraud Risk Management information

See Dallas, TX salary details

$50.9K

$110.4K

$168.2K

How much do fraud risk management jobs pay per year?

As of Aug 14, 2026, the average yearly pay for fraud risk management in Dallas, TX is $110,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $127,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced in fraud risk management roles and how are they addressed?

Professionals in Fraud Risk Management often face challenges such as staying ahead of constantly evolving fraud tactics, analyzing large volumes of transactional data, and ensuring compliance with regulatory standards. To address these challenges, teams typically employ advanced analytic tools, collaborate cross-functionally with IT and compliance departments, and engage in continuous training to stay updated on emerging threats. The work environment is dynamic and may involve both independent analysis and team-based investigations, fostering a culture of vigilance and proactive risk mitigation. This dynamic landscape offers professionals the opportunity to develop specialized expertise and grow into senior risk or leadership roles over time.

What does a fraud risk management do?

A fraud risk management professional identifies, assesses, and implements strategies to detect and prevent fraudulent activities within an organization. They analyze data, develop controls, and monitor transactions to reduce financial losses and ensure compliance with regulations. Strong analytical skills and knowledge of fraud detection tools are essential in this role.

Is working in fraud risk management a good career?

Working in fraud risk management is a viable career option with demand across industries such as banking, finance, and e-commerce. It involves analyzing data, using tools like fraud detection software, and often requires certifications like Certified Fraud Examiner (CFE). The role offers opportunities for advancement and specialization in a growing field.

What are the key skills and qualifications needed for fraud risk management?

To thrive in Fraud Risk Management, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by degrees in finance, accounting, or related fields. Familiarity with fraud detection software, data analysis tools like SQL or SAS, and industry certifications such as CFE (Certified Fraud Examiner) are highly valued. Excellent communication, problem-solving abilities, and ethical integrity are critical soft skills for collaborating with teams and handling sensitive investigations. These skills and qualities are essential to effectively identify, investigate, and mitigate fraud risks, protecting organizational assets and maintaining compliance.

What is fraud risk management?

A Fraud Risk Management job involves identifying, assessing, and mitigating risks related to fraudulent activities within an organization. Professionals in this role develop and implement policies, controls, and monitoring systems to prevent fraud and financial crimes. They work closely with compliance, legal, and operational teams to investigate suspicious activities and ensure regulatory compliance. The goal is to minimize financial losses and protect the organization's reputation.

What are the most commonly searched types of Fraud Risk Management jobs in Dallas, TX?

The most popular types of Fraud Risk Management jobs in Dallas, TX are:

What are popular job titles related to Fraud Risk Management jobs in Dallas, TX?

For Fraud Risk Management jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Fraud Risk Management jobs in Dallas, TX look for?

The top searched job categories for Fraud Risk Management jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Fraud Risk Management jobs?

Cities near Dallas, TX with the most Fraud Risk Management job openings:

Infographic showing various Fraud Risk Management job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $110,355 per year, or $53.1 per hour.

Fraud Data Analyst

RealPage, Inc.

Richardson, TX • On-site, Remote

$77K - $132K/yr

Other

Re-posted 22 days ago


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

225th of 244 rated software companies


Job description

Overview
The Fraud Strategy Analyst is responsible for supporting the development, testing, and ongoing optimization of fraud strategies, policies, rules, thresholds, and decision logic across RealPage's payments ecosystem. This role will focus on fraud prevention and detection across new account onboarding, tenant payments, vendor payments, owner draws, funding instruments, limit management, and payout activity.
This is a hands-on, technical role for a fraud professional with strong analytical skills, data science exposure, and mandatory SQL experience. The ideal candidate can query data independently, identify fraud patterns, test hypotheses, evaluate strategy performance, and translate findings into practical fraud controls while balancing risk mitigation, customer experience, operational workload, and business growth.
Responsibilities
Fraud Strategy, Policy & Controls
  • Support development and maintenance of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows.
  • Help build and optimize controls for payment fraud, onboarding risk, account takeover, business email compromise, counterparty fraud, tenant payment fraud, synthetic identity, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies.
  • Document strategy rationale, rule logic, expected impact, monitoring plans, policy considerations, change history, and recommended follow-up actions Analytics, Data Science & Rule Performance
  • Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction.
  • Apply analytical and data science methods to support feature exploration, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, and performance monitoring.
  • Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls.

Operational Feedback & Cross-Functional Execution
  • Partner with Onboarding Risk Operations and Risk Monitoring Operations to incorporate case outcomes, queue trends, investigator feedback, alert quality, and operational pain points into strategy improvements.
  • Review themes from Trust and Safety escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, or policy needs requiring durable remediation.
  • Collaborate with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflow, data availability, rule implementation, and control monitoring.
  • Provide concise updates on fraud trends, strategy performance, emerging risks, rule effectiveness, false positive impact, and recommended actions to fraud leadership and cross-functional stakeholders.

Qualifications
Required:
  • 3-5 years of full-time experience in fraud strategy, fraud analytics, payments risk, data science, financial crime, risk operations strategy, or a related technical risk function
  • Mandatory SQL experience, with the ability to independently query data, validate hypotheses, assess rule or control performance, and support fraud strategy development.
  • Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical methods used in fraud or risk decisioning.
  • Experience working with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations stakeholders.
  • Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or related field, or equivalent practical experience.

KNOWLEDGE/SKILLS/ABILITIES
Required:
  • Strong analytical curiosity and ability to connect fraud signals across disconnected tools, imperfect data, and evolving processes.
  • Ability to translate data findings into clear fraud strategy recommendations, rule changes, control improvements, and policy considerations.
  • Working knowledge of fraud typologies such as synthetic identity, first-party misuse, counterparty fraud, business email compromise, onboarding fraud, stolen payment instruments, tenant payment fraud, account takeover, or bust-out behavior.
  • Ability to evaluate fraud strategies using metrics such as loss exposure, fraud capture, precision, false positives, customer friction, queue impact, and post-launch performance trends.
  • Strong written and verbal communication skills, including the ability to summarize technical findings for fraud, product, operations, data science, and leadership audiences.
  • High ownership, sound judgment, attention to detail, and ability to balance fraud mitigation with customer experience, operational capacity, compliance considerations, and business growth.
  • Preferred experience with property management, rent payments, real estate technology, B2B payments, vendor payments, bill pay, embedded payments, merchant acquiring, fraud platforms, payment processor portals, device/identity signals, or decisioning platforms such as Oscilar.

#LI-AS2
#LI-REMOTE
Physical Demands and Working Conditions
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds.
Pay Range
USD $77,700.00 - USD $132,300.00 /Yr.

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