Fraud Analyst (Remote from US)

Jobgether

3d•Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Fraud Analyst in the United States. This role offers the opportunity to take full ownership of fraud detection and prevention within a fast-growing, data-driven environment. You will analyze large datasets, identify fraud patterns, and design risk logic to protect users and optimize transactions. The position combines strategic thinking with hands-on execution, allowing you to shape verification strategies, optimize authentication flows, and improve approval rates while maintaining a seamless user experience. You will collaborate closely with product, payments, data, and engineering teams, gaining exposure to multiple markets and complex payment systems. The ideal candidate thrives on autonomy, accountability, and leveraging data to drive actionable outcomes. This role provides a chance to make a tangible impact on a global, high-volume marketplace.

Requirements

Proven experience in fraud analysis, payments risk, or risk management with clear ownership over results
Strong SQL skills and hands-on experience with large datasets (mandatory)
Experience creating and maintaining dynamic fraud risk rules
Knowledge of 3DS and regional authentication strategies
Ability to manage False Positive Rates and approval rates effectively
Solid understanding of fraud patterns, user behavior, and payment-related risks
Strong problem-solving, critical thinking, and data-backed decision-making skills
Full professional proficiency in English

Nice To Haves

Python experience
Familiarity with fintech/payment tools (e.g., Adyen, Stripe Radar, Sift, Forter)
Experience in multi-market international environments
Knowledge of PSD2/SCA concepts

Responsibilities

Take ownership of fraud detection and prevention for assigned products
Analyze large datasets using SQL to identify patterns, anomalies, and emerging attack vectors
Design, implement, and optimize dynamic fraud risk rules to scale with business growth
Monitor and improve False Positive Rates, balancing security and user experience
Manage 3DS decisioning and authentication strategies across multiple regions
Track and report fraud trends, providing data-driven insights and recommendations
Collaborate with Product, Payments, Data, and Engineering teams to enhance fraud prevention systems
Maintain fraud detection workflows, alerts, and decision logic used by the team