Senior Data Analyst (Payment/Fraud)

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

As a Data Analyst, you will analyze payment and fraud-related data, identify suspicious patterns and risks, and support fraud prevention and payment optimization initiatives through data-driven insights and reporting.

Requirements

• 4+ years of experience as a Payment Analyst, Fraud Analyst, Product/Data Analyst, Risk Analyst, or similar role
• Strong practical knowledge of SQL: CTEs, window functions, aggregations, joins, query optimization
• Experience analyzing payment transactions, payment funnels, success rates, declines, errors and fraud-related metrics
• Practical experience with Power BI
• Strong Excel skills
• Ability to work with large datasets and combine data from multiple sources
• Strong analytical thinking and attention to detail
• Understanding of key payment and fraud metrics (AR, SR) 
• Strong communication skills and ability to clearly present insights to business stakeholders
• Ability to work independently in a dynamic environment

Your Responsibilities

• Analyze payment performance, fraud prevention metrics, and player transaction behavior to support business decisions 
• Investigate suspicious activity, fraud patterns, bonus abuse, multi-accounting, payment manipulation, and other abnormal user behaviors 
• Collaborate with business teams (Product, Payments, Risk & Fraud) on data requirements, analytical insights, fraud prevention, and payment optimization initiatives 
• Collect, prepare, validate, and combine data from multiple sources for analysis and reporting
• Build and maintain analytical reports and dashboards in Power BI for payment, fraud, and transaction monitoring

Nice to Have

• Experience in iGaming, fintech, payments, traffic analytics, or other high-risk industries
• Experience with PSPs, payment providers, aggregators, antifraud or risk management systems
• Knowledge of fraud detection, bonus abuse, or suspicious activity analysis
• Basic experience with Python for data analysis or automation
• Understanding of payment processes (routing, cascading, 3DS, BIN analysis, card, crypto, and alternative payments)

What We Offer

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work