Compared with the selected benchmark ("All roles in Remote - United States"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€1,667–€22,616). The listed pay band (€607–€991) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 14 comparable listings.

Monthly salary comparison for Fraud Operations Specialist
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
All roles in Remote - United States	€1,667/per month	€9,586/per month	€22,616/per month

About the role

ABOUT US Pliant is a European fintech specializing in B2B payment solutions. Our modular, API-first platform helps businesses streamline spending, improve cash flow, and integrate payments into their financial workflows. Designed for industries with complex payment needs, such as travel and fleet, Pliant enables greater efficiency, control, and profitability. We serve two primary customer segments:... (full text omitted for brevity)

Job Details

Responsibilities

Monitor live card transactions and payment flows, focusing on unusual patterns and automated alerts related to fraud.
Validate and triage alerts independently, escalate where needed, and follow internal playbooks.
Work with fraud and engineering teams to continuously improve alert accuracy and detection logic.
Participate in managing fraud- or system-related incidents — investigate, coordinate internal communication, and document the process.
Contribute to root cause analysis (RCA) and post-incident reviews for continuous improvement.
Use SQL and basic Python to extract and analyze data related to transaction anomalies, false positives, or recurring issues.
Support in identifying emerging fraud trends or vulnerabilities in payment flows.
Work closely with Engineering, Compliance, and Customer Relations teams during live escalations.
Help refine monitoring dashboards and internal documentation to make processes more robust and scalable.
Contribute ideas for process automation and fraud model enhancements.

Requirements

2–3 years of experience in fintech, payments operations, fraud monitoring, or a related support function.
Solid understanding of card payment flows, fraud scenarios (e.g., card testing, phishing, credential stuffing), and payment APIs.
Hands-on experience with SQL and basic use of Python (e.g. data cleanup, automation scripts).
Familiarity with alerting or monitoring tools and experience with incident response workflows and using ticketing systems.
Strong attention to detail, ability to work independently under pressure, and comfort handling live production environments.
Excellent written and verbal communication skills in English.
Willingness to work on a fixed shift that includes weekend rotations.