Antifraud Analyst Junior
WorldwideHQPosted
- Category
- Data & analytics
- Level
- Junior
- Work arrangement
- Remote, some regions
- Employment
- Full-time
- Hiring in
- Latin America
- Tags
- Python
Job description
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
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