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Fraud Risk Relocation Jobs (NOW HIRING)

Koalafi

Fraud Investigator

Richmond, VA · On-site

As a Fraud Investigator, you will monitor and research risk signals for both customers and ... relocation assistance is not available at this time.

Ramp

Software Engineer, Fraud & Identity

New York, NY · Remote

$168K - $284K/yr

You will partner closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship ... • Relocation support to NYC or SF (as needed) Canada • Group medical, dental, and vision ...

Ramp

Software Engineer, Fraud & Identity

New York, NY · On-site

$168K - $284K/yr

You will partner closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship ... • Relocation support to NYC or SF (as needed) Canada • Group medical, dental, and vision ...

Sanity

Fraud Investigator

Richmond, VA · On-site

As a Fraud Investigator, you will monitor and research risk signals for both customers and ... as relocation assistance is not available at this time. Why choose Koalafi: A career at Koalafi ...

Koalafi

Fraud Investigator

Richmond, VA · On-site

As a Fraud Investigator, you will monitor and research risk signals for both customers and ... as relocation assistance is not available at this time. Why choose Koalafi: A career at Koalafi ...

Koalafi

Fraud Investigator

Richmond, VA · On-site

As a Fraud Investigator, you will monitor and research risk signals for both customers and ... as relocation assistance is not available at this time. Why choose Koalafi: A career at Koalafi ...

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

... fraud, risk, rewards, and partner operations to support high-impact initiatives and ensure the ... relocation assistance to those who'd like to. We regularly bring our team together for offsites ...

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How much do fraud risk relocation jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for fraud risk relocation in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is the difference between Fraud Risk Relocation vs Fraud Analyst?

AspectFraud Risk RelocationFraud Analyst
CredentialsCertifications in fraud prevention, risk managementCertifications like CFE, CRCM often preferred
Work EnvironmentCorporate risk management, relocation planningFinancial institutions, banks, insurance companies
Industry UsageUsed in companies managing fraud risk across locationsCommonly employed in detecting and investigating fraud

Fraud Risk Relocation focuses on managing fraud risks related to relocating employees or assets, often within corporate risk management. In contrast, a Fraud Analyst primarily investigates and detects fraudulent activities within financial or insurance sectors. While both roles require knowledge of fraud prevention, Fraud Risk Relocation emphasizes risk mitigation during transitions, whereas Fraud Analysts focus on identifying and resolving fraud cases.

What types of teams does a Fraud Risk Relocation specialist typically collaborate with, and how does this collaboration impact daily responsibilities?

A Fraud Risk Relocation specialist frequently works alongside compliance, legal, operations, and IT security teams to identify and mitigate risks associated with employee or asset relocations. This cross-functional collaboration ensures that all aspects of relocation are vetted for potential fraud and that preventative measures are integrated into relocation processes. On a daily basis, this means participating in meetings, reviewing relocation cases, and communicating findings to relevant departments, making strong teamwork and communication skills essential for success in the role.

What are the key skills and qualifications needed to thrive as a Fraud Risk Analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you need analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor's degree. Familiarity with fraud detection software, data analytics tools, and relevant certifications such as CFE (Certified Fraud Examiner) is typically required. Strong problem-solving, communication, and ethical judgment are essential soft skills for identifying suspicious activity and working with cross-functional teams. These skills enable effective detection, prevention, and resolution of fraudulent activities, protecting organizational assets and reputation.

What is a Fraud Risk Relocation specialist?

A Fraud Risk Relocation specialist is a professional responsible for identifying, assessing, and mitigating risks associated with fraudulent activities, especially when organizations or individuals are relocating assets, operations, or personnel. Their role often involves evaluating current fraud prevention strategies, implementing new controls, and ensuring compliance with legal and regulatory requirements during transitions. They work closely with other risk management teams to safeguard against financial loss or data breaches that can occur during relocation processes.
Infographic showing various Fraud Risk Relocation job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

Senior/Lead Risk Analyst, Payment fraud(Relocation to Toronto Required)

Snaplii

Manhattan, NY • On-site

$150K - $250K/yr

Full-time

Posted 10 days ago

Job description

At Snaplii, risk management isn't a "brake" on growth-it's the "supercharger" that enables our 300% explosive expansion. We aren't looking for analysts who just read reports; we want strategists who can reverse-engineer fraud loops and command AI to automatically sever risks.
Important: Location & Relocation
This role is based in our Toronto, Canada office. To foster our high-velocity founding culture, we require this leader to be onsite in Toronto for at least the first 6-12 months. We provide full relocation assistance and comprehensive immigration sponsorship for qualified US-based candidates.
About Snaplii
Snaplii is one of Canada's fastest-growing fintech platforms, with $100M+ in annual transaction volume and 350,000+ users across North America, Snaplii connects consumers with 500+ leading brands across everyday categories - enabling smarter spending with instant savings and rewards.
Today, Snaplii is evolving beyond a digital wallet into infrastructure for AI-native commerce - enabling secure, programmable transactions between users, brands, and AI agents.
AI drives demand. Snaplii executes the transaction.
About the Role
We are looking for a Risk Leader with deep fraud expertise and raw analytical horsepower. This role will shape and implement cutting-edge risk strategies that drive sustainable growth, minimize losses, and enhance the customer experience. The ideal candidate has direct experience in payment fraud detection and prevention, with the ability to spot fraudulent transactions and translate fraud patterns into scalable, data-driven solutions. This role requires a balance of hands-on fraud investigation, SQL-driven analytics, and collaboration with product and engineering teams to design and implement automated fraud controls.
Key Responsibilities
  • Lead the end-to-end development and execution of financial risk strategies-from opportunity identification to design, testing, launch, and post-production performance monitoring.
  • Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns.
  • Analyze internal and external data and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks.
  • Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control.
  • Act as a liaison between the company and payment processors/vendors, with strong communication skills to speak the industry language, manage vendor relationships, and ensure effective alignment on fraud and risk management.

Qualifications
  • The ideal candidate is an accountable and resilient team-player who brings a combination of business instincts, technical skills and raw analytical horsepower necessary to support the rapid growth of Snaplli's business.
  • Minimum 5 years of professional work experience; Minimum 3 years in a fraud-related role; Minimum 1 year in the payments industry.
  • Experience working with various payment methods in multi-currency environments, ideally within e-commerce or related industries.
  • Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis.
  • Strong data modeling skills (3+ years): hands-on experience building fraud detection models, user behaviour scoring systems, and transaction anomaly detection models, including feature engineering, model training, evaluation, and deployment.
  • Ability to integrate models with risk systems to enable automated, model-driven fraud prevention workflows.
  • Proficiency with machine learning frameworks (Python or R with Sklearn, XGBoost, LightGBM, etc.) and prior experience deploying models into production environments.
  • SQL proficiency (must-have) - able to independently query and analyze large datasets. Python (good-to-have).
  • Previous experience as a Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. Bachelor's degree in Engineering, Computer Science, Statistics, Finance, or a related analytical/technical field.
  • Strong problem-solving skills and reverse-engineering thinking, with the ability to anticipate and predict potential risks from a fraudster's perspective.
  • Proficiency in Mandarin Chinese is an asset but not required.
Why Join Us
  • Building AI-Native Payments
    • Powering how AI agents transact in the real world.
  • Explosive Growth
    • 300%+ revenue & TPV growth in 2025, with accelerating momentum into 2026.
  • Small Team, Massive Scale
    • <40 people. A lean & high-performance team where every decision moves revenue, risk, and user experience.
  • AI-First Engineering Culture
    • 90%+ of code is AI-assisted. Engineers focus on architecture and complex problems
  • Direct Access to the AI Frontier
    • Connect with leading AI companies in Silicon Valley, gaining first-hand exposure to cutting-edge advancements.

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