About the role

Merchant Risk Data Analyst supporting Credit Risk team by delivering data analysis and insights for merchant decision-making. Focusing on risk monitoring, exposure analysis, and improving reporting processes.

Responsibilities

Monitoring the merchant portfolio and key risk indicators such as credit risk ratings, chargebacks, refunds, disputes, payout velocity, and exposure metrics.
Identifying trends, anomalies, and early-warning signals that may indicate deteriorating merchant performance or increased financial risk.
Supporting risk tiering and segmentation with data-driven insights.
Building, maintaining, and improving recurring risk reports (daily/weekly/monthly) for Risk and senior stakeholders.
Designing and maintaining dashboards that provide clear visibility into portfolio health and key KPIs.
Ensuring data accuracy, consistency, and transparency across reporting outputs.
Performing ad-hoc analyses to support merchant risk reviews, risk appetite discussions, and strategic initiatives.
Translating analytical findings into clear recommendations for Credit Risk and other non-technical stakeholders.
Partnering with Credit Risk to evaluate the impact of changes in policies, thresholds, or controls.
Identifying opportunities to automate monitoring, reporting, and data extraction processes.
Supporting improvements in risk tooling, data pipelines, and internal systems to increase efficiency and scalability.

4–6 years of experience in data analysis, risk analytics, BI, or a comparable analytical role.
Relevant academic background in economics, finance, engineering, data analytics, or a related field.
Advanced Excel skills, including complex formulas, pivot tables, and structured analysis.
Strong SQL skills and experience working with large datasets.
Solid experience with BI/data visualization tools (e.g., Tableau, Power BI).
VBA experience for Excel automation (macros, data transformation, reporting workflows).
Excellent verbal and written communication skills in English.
Understanding of merchant risk drivers, financial exposure, and early-warning indicators, or the ability to learn these quickly.
Experience in payments, fintech, e-commerce, or financial services is a strong advantage but not required.
Python (or similar) for data analysis and automation is a strong plus.
Exposure to credit risk, merchant risk, or financial risk concepts is a plus.

Responsibility for leading and improving the AML/CTF compliance process in CEE region
Full-time employment under a contract of employment.
Benefits: ability to develop one’s own package in MyBenefit system.
Possibility to work in a hybrid model.
Friendly work atmosphere in a cooperation-driven team, that will support you everyday.
Work in an international organization operating in a rapidly changing industry.
Work in an international environment where you work with foreign languages on an everyday basis.