Antifraud Analyst Junior

remote work; United States; Remote; USD 55,000 - 85,000; Full time

Benefits offered by this job

Relocation support to hubs Serbia, in-

Flexible work from one of our offices或

Healthcare Coverage

Education Budget

Wellness Budget

Vacation Policy

Job summary

Unknown Company is seeking a proactive Junior Antifraud Analyst to join the Fraud Prevention team. You will help develop antifraud rules, analyze fraud cases, and work closely with agents to enhance detection and operational efficiency.

In this role you will test new fraud scenarios, document rules, and contribute to reducing risk at scale while maintaining a positive customer experience. This is a remote-friendly, international team with relocation options for hubs in Serbia and Mexico.

Qualifications

• Strong knowledge of mathematical statistics and probability theory.
• Strong analytical and systematic thinking with attention to detail.
• Strong SQL skills for data analysis and Python skills for automation or modeling.
• Ability to leverage AI tools in day-to-day analytical work.
• Excellent communication and collaboration skills.
• English level B1 or higher for international teams.

Responsibilities

• Test and improve antifraud rules for existing products and new fraud scenarios related to products launching in 2026, balancing security and customer experience.
• Optimize, 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.

Skills

Statistics & probability

Analytical thinking

SQL

Python

AI tools

Communication

English (B1+)

Education

Mathematical/Technical degree

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