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Fraud Business Analyst Jobs (NOW HIRING)

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Help build and optimize controls for payment fraud, onboarding risk, account takeover, business ... Apply analytical and data science methods to support feature exploration, segmentation, model ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site

$77K - $132K/yr

Help build and optimize controls for payment fraud, onboarding risk, account takeover, business ... Apply analytical and data science methods to support feature exploration, segmentation, model ...

New

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · Remote

Help build and optimize controls for payment fraud, onboarding risk, account takeover, business ... Apply analytical and data science methods to support feature exploration, segmentation, model ...

Mission Lane

Principal Business Analyst, Fraud

$118K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Principal Business Analyst, you will: * Analyze and Investigate Fraud Trends: Dive deep into application data to proactively identify emerging fraud patterns, uncover system vulnerabilities, and ...

Mission Lane

Principal Business Analyst, Fraud

$118K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Principal Business Analyst, you will: * Analyze and Investigate Fraud Trends: Dive deep into application data to proactively identify emerging fraud patterns, uncover system vulnerabilities, and ...

Tata Consultancy Service Limited

Business Analyst

Edison, NJ · On-site

$70K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Skill: Business Analyst Acquisitions, Fraud & Marketing Summary: * We are seeking a Business Analyst to support customer acquisition, fraud prevention, and marketing initiatives. * The ideal ...

Posted today

Clark Davis Associates

Business Analyst

New York, NY

This position works with other Fraud team members, Revenue Assurance teams, Compliance/Security, IT and Customer Care. Responsible for research, design, and execution of data analysis including, but ...

Gianteagle

Bachelor's Degree in Accounting, Finance, Criminal Justice, Business Analytics, Data Analytics ... Knowledge of fraud detection technologies, case management systems, or investigative tools ...

Giant Eagle

Fraud Analyst,

Cranberry, PA · On-site

Bachelor's Degree in Accounting, Finance, Criminal Justice, Business Analytics, Data Analytics ... Knowledge of fraud detection technologies, case management systems, or investigative tools ...

Tata Consultancy Service Limited

Business Analyst

Cleveland, OH · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Skill: Sr Tech Business Analyst * 10+ years of IT experience, 5+ years of experience as Business Analyst in Banking and financial services. * 5+ years of Fraud domain experience is must * Strong ...

RedSail Technologies LLC

Business Analyst

Spartanburg, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with fraud detection, audit review, compliance monitoring, or risk analysis in a pharmacy, healthcare, or related business environment. * Experience working with RAS, PowerLine, PMS ...

RedSail Technologies, LLC

Business Analyst

Irving, TX · On-site +1

Experience with fraud detection, audit review, compliance monitoring, or risk analysis in a pharmacy, healthcare, or related business environment. * Experience working with RAS, PowerLine, PMS ...

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Fraud Business Analyst information

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How much do fraud business analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for fraud business analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a fraud business analyst?

To thrive as a Fraud Business Analyst, you need strong analytical skills, knowledge of fraud detection techniques, and typically a degree in finance, business, or a related field. Familiarity with data analysis tools (like SQL, SAS, or Python), fraud management platforms, and relevant certifications such as Certified Fraud Examiner (CFE) are commonly required. Attention to detail, problem-solving ability, and strong communication skills are essential soft skills for investigating suspicious activities and collaborating with cross-functional teams. These skills and qualities are crucial for accurately identifying fraudulent patterns, minimizing financial losses, and supporting organizational integrity.

What is the difference between Fraud Business Analyst vs Fraud Investigator?

AspectFraud Business AnalystFraud Investigator
Primary FocusAnalyzing data to identify fraud patterns and improve prevention strategiesConducting investigations to gather evidence and resolve fraud cases
Required SkillsData analysis, reporting, risk assessmentInterviewing, evidence collection, case management
CertificationsCertified Fraud Examiner (CFE), data analysis certificationsCertified Fraud Examiner (CFE), law enforcement training
Work EnvironmentOffice-based, analytical, collaborativeFieldwork, interviews, case investigations

While both roles focus on fraud, the Fraud Business Analyst primarily analyzes data to prevent and detect fraud patterns, whereas the Fraud Investigator actively conducts investigations to resolve specific cases. Understanding these differences helps organizations assign the right responsibilities and professionals for fraud-related tasks.

What does a fraud business analyst do?

A Fraud Business Analyst is responsible for identifying, analyzing, and preventing fraudulent activities within an organization. They use data analysis, risk assessment, and investigative techniques to detect suspicious transactions and patterns. Their work involves collaborating with various departments, developing fraud prevention strategies, and recommending improvements to reduce risk. Additionally, they often assist in implementing anti-fraud technologies and ensuring compliance with relevant regulations.

How does a fraud business analyst typically collaborate with other departments to identify and mitigate fraudulent activity?

A Fraud Business Analyst frequently works cross-functionally with teams such as IT, compliance, operations, and customer service. They analyze data patterns to detect potential fraud and communicate findings to relevant departments for further investigation or action. Regular meetings and reporting ensure alignment, and analysts often participate in training sessions to educate staff about emerging fraud trends. This collaborative environment helps implement effective fraud prevention strategies and ensures a swift response to incidents.
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Fraud Business Analyst jobs near you

Fraud Data Analyst

RealPage, Inc.

Richardson, TX • On-site, Remote

$77K - $132K/yr

Other

Re-posted 23 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

224th 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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