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Antifraud Analyst - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide

Overview

NOVACARD is redefining how people use credit with the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and empower users.

In Short

  • Join the NOVACARD Risk Tech team as an Antifraud Analyst.
  • Investigate suspicious activities and analyze fraud patterns.
  • Support the development and improvement of antifraud rules.
  • Work with data to identify anomalies and improve fraud detection.
  • Conduct deep-dive investigations of fraud incidents.
  • Perform authorization and verification of POS partners.
  • Prepare antifraud reports and support analytics.
  • Quality assurance of antifraud-related processes.
  • Collaborate with risk, data, and operations teams.
  • Fully remote work format.

Requirements

  • Fluent in Russian and intermediate English.
  • 1-3 years of experience in antifraud analysis or risk underwriting.
  • Higher education or relevant professional experience.
  • Strong analytical thinking and problem-solving skills.
  • Ability to work independently and drive tasks end-to-end.
  • Knowledge of SQL and Excel.
  • Curiosity and an investigative mindset.
  • Nice to have: Knowledge of Python or VBA, data visualization tools like Tableau or Power BI.
  • Experience with POS lending or merchant verification.
  • Experience with OSINT tools.

Benefits

  • Fully remote work format.
  • Official employment under the Russian Labor Code for residents in Russia.
  • Opportunity to work in an international team.
  • Work in a data-driven environment with real impact.

NOVACARD

NOVACARD

Novacard is a forward-thinking company focused on bridging operations, strategy, and analytics to drive data-based decision-making. With a mission to strengthen operational analytics and support a data-driven decision framework, Novacard emphasizes the importance of connecting operational performance with strategic insights. The company values continuous improvement and collaboration across teams, aiming to turn data insights into impactful actions that help scale their operations smarter and faster.

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