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Remote Fraud Analytics Jobs (NOW HIRING)

Affirm

Analyst II, Full Stack (Fraud Analytics)

$124K - $174K/yr

The Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing ... The majority of our roles are remote and you can work almost anywhere within the country of ...

Nymbus, Inc.

Fraud Analyst

We are a remote first company. This role, as most of our positions, is remote. You may be required ... The Fraud Analyst is part of the Risk & Compliance team within Nymbus. The Fraud Analyst is ...

Nymbus, Inc.

Fraud Analyst

Jacksonville, FL · Remote

We are a remote first company. This role, as most of our positions, is remote. You may be required ... The Fraud Analyst is part of the Risk & Compliance team within Nymbus. The Fraud Analyst is ...

SNI USA Inc

FIU Fraud Analyst

Olney, MD · Remote

... Fraud Analyst. This position is a contract for approximately 6 months ... This position is REMOTE! Position Qualifications Education & Experience * High School diploma or ...

icba

VP OF FRAUD

Tampa, FL · On-site +1

This is a remote opportunity. If living outside of the area, travel expectations would be at least ... Oversees successful implementation of strategies, analytics, reporting, development, and deployment ...

UMB Financial

Sr. Fraud Strategy Analyst

Kansas City, MO · On-site +1

$57.76K - $124.17K/yr

However, the remote location must be within the US. How you will spend your time: * Works with the ... Proficiency for problem solving, analytics, and reporting. * Ability to manage time and meet ...

Spokeo

Business Analyst, Payments and Fraud

Pasadena, CA · On-site +1

$103.50K - $132.30K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Payments & Fraud Analytics * Support and enhance the development of payments and fraud KPIs ...

TEKsystems

Fraud Analyst

Houston, TX · Remote

$28 - $32/hr

Description Our client is seeking a contract Fraud Analyst to assist the fraud department. This ... remote position. Application Deadline This position is anticipated to close on Jun 2, 2026. About ...

Affirm

Manager, Machine Learning Engineering (Fraud)

$200K - $250K/yr

You will partner closely with Product, Fraud Analytics, Risk, and Platform teams to ensure high ... The majority of our roles are remote and you can work almost anywhere within the country of ...

Fulton Bank

Fraud Prevention and Detection Manager

PA · Remote

$812/wk

Overview This is a full-time career opportunity that can be remote. As a trusted subject matter expert representing Fraud Risk Management (FRM), this position manages a team of Fraud Risk Analysts ...

Fulton Bank

Fraud Prevention and Detection Manager

PA · On-site +1

$81/hr

Overview This is a full-time career opportunity that can be remote. As a trusted subject matter expert representing Fraud Risk Management (FRM), this position manages a team of Fraud Risk Analysts ...

Fulton Bank

Fraud Prevention and Detection Manager

PA · Remote

$81.20K - $135.30K/yr

This is a full-time career opportunity that can be remote. As a trusted subject matter expert representing Fraud Risk Management (FRM), this position manages a team of Fraud Risk Analysts that ...

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How much do remote fraud analytics jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote fraud analytics in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

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

AspectRemote Fraud AnalyticsRemote Fraud Prevention Specialist
Primary FocusAnalyzing data to detect and investigate fraud patternsImplementing strategies and actions to prevent fraud
Required SkillsData analysis, statistical tools, fraud detection techniquesRisk assessment, policy enforcement, customer communication
Work EnvironmentData teams, analytics platforms, remote data analysisCustomer service, compliance teams, remote monitoring
Common CertificationsCertified Fraud Examiner (CFE), data analysis certificationsCertified Fraud Examiner (CFE), security certifications

Remote Fraud Analytics focuses on analyzing data to identify potential fraud activities, while Remote Fraud Prevention Specialist works proactively to prevent fraud through policy enforcement and customer engagement. Both roles often collaborate but serve different stages of fraud management.

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Remote Fraud Analytics jobs near you
Analyst II, Full Stack (Fraud Analytics)

Analyst II, Full Stack (Fraud Analytics)

Affirm

Remote

$124K - $174K/yr

Full-time

Medical, Dental, Vision

Posted 16 days ago

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing Affirm's online fraud decisioning strategy. The team works cross-functionally with Product, Engineering, Operations, and Finance teams to define and ensure accurate execution of the fraud strategy to effectively prevent fraud losses.
This role requires extensive use of data analytics to derive insights and develop/update fraud strategies, collaborating with cross-functional partners. Full stack analyst works with the Product teams to develop new fraud features, with the engineering team to launch online experiment to test out the performance of the new features, with the Operation team to execute risk and resolution strategies, with the Finance team to help facilitate discussions on portfolio performance and loss forecasting.
Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience.
WHAT YOU'LL DO
  • Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimise the existing strategies to achieve better conversion rate.
  • Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates
  • Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
  • Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes.
  • Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports
  • Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments
  • Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention

WHAT WE LOOK FOR
  • 2-4 years work experience in customer risk management at a payments or financial company.
  • Fluent in SQL and Python
  • A team player with ability to collaborate and influence across different teams in the organisation
  • Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
  • Passion to understand how the product works and how to change to make it more effective
  • Strong time management skills and the ability to manage multiple projects and priorities
  • Able to thrive in a fast-paced environment and be responsive and available during high intensity moments
  • Bachelor's or Master's degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired
  • Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.

Pay Grade - K
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000 - $190,000
USA base pay range (all other U.S. states) per year: $124,000 - $174,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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