Remote Fraud Analyst Jobs

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MVM

MVM - Business Consulting & Services - SME

KACE Company

KACE Company - Translation & Localization

Pro Tip

Average salary for remote Fraud Analyst jobs: $14K–$51K across all experience levels.

The Providencia Group

The Providencia Group - Individual & Family Services - Scaleup

USAA

USAA - Financial Services - XLarge

Pleo
Fraud Analyst5 days ago

Pleo - Computer Software / SaaS - Scaleup

First American

First American - Insurance - XLarge

Arlo Solutions

Arlo Solutions - IT Services & IT Consulting - Scaleup

Mews

Mews - Computer Software / SaaS - Large

Transaction Monitoring
Stripe

Stripe - Digital Payments & Money Transfer - Large

Stripe
Fraud Architect12 days ago

Stripe - Digital Payments & Money Transfer - Large

NovoPayment

NovoPayment - Financial Services - Scaleup

Black Pearl Consult
FRAUD ANALYST30+ days ago

Black Pearl Consult - Staffing & Recruiting - Startup

Recorded Future
Fraud Analyst30+ days ago

Recorded Future - Cybersecurity - SME

Full time
Till Financial
Fraud Analyst30+ days ago

Till Financial - Banking - Small startup

Transaction Monitoring
Recorded Future
Fraud Analyst30+ days ago

Recorded Future - Cybersecurity - SME

Wave HQ
Sr. Fraud Analyst30+ days ago

Wave HQ - Computer Software / SaaS - SME

Tripledot Studios
Fraud Analyst20 days ago

Tripledot Studios - Video Games & Interactive Entertainment

Tripledot Studios
Fraud Analyst20 days ago

Tripledot Studios - Video Games & Interactive Entertainment

Ascensus

Ascensus - Financial Services - XLarge

Full time
Prolific
Fraud Analyst30+ days ago

Prolific - Computer Software / SaaS

ITC Federal
Fraud Analyst30+ days ago

ITC Federal - GovTech & Civic Tech

Rover.com

Rover.com - E-commerce & Online Marketplaces - SME

Segment

Segment - API & Integration Platforms (iPaaS) - SME

Twilio

Twilio - API & Integration Platforms (iPaaS) - Large

Jumio Corporation
Fraud Strategist30+ days ago

Jumio Corporation - Identity & Access Management (IAM) - SME

Moniepoint Group

Moniepoint Group - Digital Payments & Money Transfer - Large

Extend Your Team
Fraud Specialist30+ days ago

Extend Your Team - Staffing & Recruiting - Scaleup

IntelliPro

IntelliPro - Staffing & Recruiting - SME

Python (Programming Language)
Kled AI
Fraud/ML Engineer30+ days ago

Kled AI - Information Services & Data Providers

Council Capital

Council Capital - Private Equity & Venture Capital

Python (Programming Language)
Mercor

Mercor - Job Boards & Talent Marketplaces

Python (Programming Language)
Part time
Mercor

Mercor - Job Boards & Talent Marketplaces

Python (Programming Language)
Kaplan

Kaplan - E-Learning / EdTech - XLarge

Part time
Mercor

Mercor - Job Boards & Talent Marketplaces

Transaction Monitoring
Mercor

Mercor - Job Boards & Talent Marketplaces

Transaction Monitoring
Mercor

Mercor - Job Boards & Talent Marketplaces

Mercor

Mercor - Job Boards & Talent Marketplaces

Part time
Greenlite AI

Greenlite AI - Artificial Intelligence & Machine Learning Services

Remote Fraud Analysis: What Senior Financial Crime Professionals Need to Know in 2026

Fraud analysis and prevention is a function that has been transformed by the scale of digital financial services and the sophistication of fraud methodologies that have evolved alongside them. For senior professionals with 10 or more years of experience in fraud risk, the remote market is genuinely accessible, driven by the inherently digital nature of modern fraud investigation, the platform-based tooling that has made remote case management standard, and the global nature of financial crime that makes distributed fraud prevention teams a practical necessity rather than an accommodation. The most favorable conditions are for senior professionals who have moved from reactive fraud case management into proactive fraud risk architecture, building the detection models, the operational frameworks, and the cross-functional partnerships that prevent fraud at scale.

50+
Open remote roles tracked
Salary range
$14k – $51k
9+
New roles added this week

Is the Remote Fraud Market Saturated?

Fraud analysis at the analyst and senior analyst level is competitive in markets with large financial services and fintech sectors, because the function has grown rapidly and the training pathway is accessible. The Head of Fraud Prevention, VP of Fraud Risk, and Director of Financial Crime level is a different market. These roles require professionals who have designed fraud detection strategies, owned the fraud model governance process, managed the operational tradeoffs between fraud prevention and customer friction, and built the cross-functional relationships with product, engineering, compliance, and customer experience teams that make fraud programs effective without degrading legitimate customer journeys. That strategic and organizational scope is not widely available, and companies with growing digital fraud exposure consistently find the senior pool thinner than their needs.

What Seniority Level Actually Gets Hired Remotely?

Remote fraud analysis hiring is strongest at the Senior Fraud Analyst, Fraud Investigations Lead, and Head of Fraud Prevention level at fintech companies, neobanks, payment processors, e-commerce platforms, and digital lending companies. The function's inherently digital nature, fraud cases are investigated through transaction data, device fingerprinting, behavior analytics, and network analysis rather than physical evidence, makes remote work structurally appropriate. Case management platforms, investigation tools, and analytics systems are all cloud-based, and the coordination required is with engineering, compliance, and data science teams that are themselves often distributed. Director of Financial Crime and VP Fraud Risk roles are remote at distributed fintech and financial services companies at above-average rates.

Why Do Senior Fraud Professionals Get Filtered Out?

Detection model governance is the first senior-level filter. Companies hiring Head of Fraud Prevention and VP Fraud Risk are distinguishing between professionals who have reviewed and actioned fraud alerts and those who have owned the detection model, governed its false positive rate, managed its recall-precision tradeoff, and made defensible decisions about model updates when fraud patterns evolved. The absence of model ownership from a senior fraud profile is consistently read as analytical execution experience rather than program leadership. A second filter is fraud typology depth: fraud risk is not generic, and companies screen for professionals with experience in specific fraud categories relevant to their business model — account takeover, synthetic identity fraud, first-party fraud, payment fraud, promotion abuse, or marketplace fraud. Generalist fraud experience without typology specificity is deprioritized for senior roles at companies with well-defined fraud risk profiles. Third, the cross-functional influence signal matters: senior fraud leaders who have not described how they influenced product decisions to reduce fraud vectors, negotiated friction changes with customer experience teams, and structured the relationship between fraud and compliance are consistently screened as operational leaders rather than strategic ones.

Frequently Asked Questions

How has machine learning changed the senior fraud market?
Significantly. ML-based fraud detection has replaced rule-based systems at most sophisticated fraud programs, which has changed the required profile of a senior fraud leader from someone who built rules to someone who governs models. Senior fraud professionals who cannot speak to how they have worked with data science teams on model development, how they have defined the business constraints that govern model thresholds, and how they have monitored model performance over time are viewed as behind the current market. Conversely, professionals who have managed the ML-to-operational handoff are in a smaller and more valued pool.
What fraud specializations have the most remote senior demand?
Account takeover and identity fraud leadership is the highest-volume category, driven by the growth of digital identity verification and the sophistication of credential stuffing and synthetic identity attacks. Payment fraud and chargeback program leadership is consistently in demand at e-commerce and payment companies. Cryptocurrency and blockchain fraud analytics is the fastest-growing specialist category as exchanges, DeFi platforms, and blockchain analytics companies scale their fraud and financial crime functions.
Is CFE (Certified Fraud Examiner) certification required for senior remote fraud roles?
CFE is recognized and valued for senior fraud roles, particularly those with an investigations focus. At the Head of Fraud Prevention and VP Fraud Risk level, operational program ownership and detection model governance experience carry more weight than certification. CAMS (Certified Anti-Money Laundering Specialist) is a relevant additional credential for senior professionals whose fraud scope overlaps with financial crime compliance.
What industries hire remote senior fraud professionals most consistently?
Fintech companies and neobanks have the highest volume and strongest remote culture. Payment processors, e-commerce marketplaces, digital lending platforms, and cryptocurrency exchanges follow. Traditional financial institutions have significant fraud headcount but are slower to adopt remote arrangements at the senior level. Fraud analytics technology vendors hire senior fraud professionals for product, advisory, and technical roles at consistently remote-eligible rates.

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