Antifraud Analyst Junior

Worldwidevia Plata Card CareersPosted May 13, 2026
Match with my CV

Technical skills

PythonSQLData analysisData science

Role signals

Finance

About this role

We are looking for a proactive Junior Antifraud Analyst to strengthen our Fraud Prevention team. This is a role focused on using and developing antifraud rules, analyzing fraud cases, and collaborating closely with agents to improve fraud detection and operational efficiency.

If you have strong analytical thinking, hands-on analyst experience, and want to directly influence risk management and system logic, this is your opportunity to make a measurable impact on fraud prevention at scale.

Challenges that await you:

  • Your main responsibility will be to test and improve antifraud rules for existing products and new fraud scenarios related to products launching in 2026, balancing security and customer experience
  • Optimize, and document antifraud rules across multiple channels (card, transfers, tokenization, etc.)
  • Improve cost efficiency and controls for operational antifraud tools
  • Collaborate with agents to investigate alerts, verify rule logic, and adjust thresholds
  • Analyze confirmed fraud cases and identify new patterns or emerging risks
  • Conduct back-testing and assess the efficiency of existing rules
  • Propose and implement new approaches for fraud detection automation
  • Monitor fraud metrics, build queries, and create dashboards to track performance

What makes you a great fit:

  • Strong knowledge of mathematical statistics and probability theory
  • Strong analytical and systematic thinking, with attention to detail and the ability to translate insights into actionable solutions
  • Strong SQL skills for data analysis and Python skills for automation or modeling
  • Ability to effectively leverage AI tools in day-to-day analytical work
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams
  • B1 or higher English level for effective communication within an international team

Your bonus

skills

  • Hands-on experience with machine learning techniques or models, particularly in analytical or fraud-related use cases
  • Understanding of payment processes, transaction flows, and common fraud typologies
  • A mathematical or technical degree from a leading university such as MSU, MIPT, HSE, MSTU, MEPhI, or NES
  • Our ways of working:
  • Innovative Spirit: A commitment to creativity and groundbreaking solutions
  • Honest Feedback: valuing open, transparent communication
  • Supportive Team: a strong, collaborative community
  • Celebrating Achievements: recognizing our wins together
  • High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
  • Our

benefits

  • Relocation support to one of our hubs — Serbia, Mexico — with assistance for the employee and their family
  • Flexible work from one of our offices or remote
  • Healthcare Coverage
  • Education Budget: Language lessons, professional training and certifications
  • Wellness Budget: Mental health and fitness activity reimbursements
  • Vacation Policy: Annual leave and paid sick leave as per applicable policies

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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