Risk Data Analyst - Xsolla

Job Title: Risk Data Analyst
Job Location: Baku
Job Listing URL: https://jobs.lever.co/xsolla/722115fb-44bb-4ca4-af3a-56e761fe8139
Job Description: ABOUT US
At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.

Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

Longevity Opportunity Vision Enjoy the game!

ABOUT THE ROLE

We are looking for a Risk Data Analyst to join our antifraud team and help develop advanced payment security systems for the gaming industry.
If you have a strong analytical mindset, enjoy working with data, and want to make an impact on product development — we’d love to have you on board!
Key Responsibilities
Analyze payment traffic to identify trends, patterns, and potential fraud schemes.
Develop and automate algorithms for anomaly detection and fraud prevention.
Build analytical reports and dashboards for internal and external stakeholders.
Participate in designing, developing, and improving the company’s internal antifraud system.
Optimize and enhance monitoring and incident response processes.
Collaborate with payment providers, partners, and internal teams.
Requirements
3+ years of experience in fintech, e-commerce, or risk & fraud analytics.
Bachelor’s degree in a technical or analytical field.
Proficiency in SQL and experience working with large, diverse datasets.
Strong data visualization and reporting skills.
Curiosity and willingness to learn new technologies and risk assessment approaches.
Experience with data visualization tools such as Power BI, Tableau, or Looker Studio (preferred).
English proficiency – Intermediate level or higher for professional communication.
Nice to Have
Experience with Python (pandas, scikit-learn, NumPy, etc.).
Understanding of machine learning concepts and automated data analysis.
Background in gaming, payment systems, or antifraud technologies.