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Plata Card

Antifraud Analyst Junior

LocationWorldwide
Work moderemote
Typefull-time
DepartmentHQ
Company size1,001–5,000 people
First seen4mo ago
Last seen5m ago
About the 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:
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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
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Optimize, and document antifraud rules across multiple channels (card, transfers, tokenization, etc.)
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Improve cost efficiency and controls for operational antifraud tools
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Collaborate with agents to investigate alerts, verify rule logic, and adjust thresholds
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Analyze confirmed fraud cases and identify new patterns or emerging risks
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Conduct back-testing and assess the efficiency of existing rules
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Propose and implement new approaches for fraud detection automation
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Monitor fraud metrics, build queries, and create dashboards to track performance
What makes you a great fit:
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Strong knowledge of mathematical statistics and probability theory
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Strong analytical and systematic thinking, with attention to detail and the ability to translate insights into actionable solutions
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Strong SQL skills for data analysis and Python skills for automation or modeling
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Ability to effectively leverage AI tools in day-to-day analytical work
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Excellent communication skills and the ability to collaborate effectively with cross-functional teams
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B1 or higher English level for effective communication within an international team
Your bonus skills:
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Hands-on experience with machine learning techniques or models, particularly in analytical or fraud-related use cases
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Understanding of payment processes, transaction flows, and common fraud typologies
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A mathematical or technical degree from a leading university such as MSU, MIPT, HSE, MSTU, MEPhI, or NES
Our ways of working:
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Innovative Spirit: A commitment to creativity and groundbreaking solutions
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Honest Feedback: valuing open, transparent communication
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Supportive Team: a strong, collaborative community
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Celebrating Achievements: recognizing our wins together
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High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
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Relocation support to one of our hubs — Serbia, Mexico — with assistance for the employee and their family
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Flexible work from one of our offices or remote
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Healthcare Coverage
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Education Budget: Language lessons, professional training and certifications
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Wellness Budget: Mental health and fitness activity reimbursements
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Vacation policy: 20 days of annual leave and paid sick leave
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