Related skills
payments sql python pandas antifraud📋 Description
- Analyze payments at scale to identify risky users and anomalies.
- Evaluate payment cascades and routing logic for improvements.
- Work with risk metrics and antifraud strategies to cut failures.
- Generate ideas to optimize operational costs in payments.
- Formulate hypotheses to increase payment success and test them.
- Collaborate with Data Engineering and BI to enable data-driven decisions.
🎯 Requirements
- 1+ year of analytics experience.
- Strong SQL for data extraction, transformation, optimization.
- Critical thinking to reason through complex transactional logic.
- Solid business acumen; financial background a plus.
- Ability to ask the right questions and clearly articulate insights.
- Nice-to-have: payment data or risk metrics; Python (Pandas) helpful.
🎁 Benefits
- Work from home or Kyiv, Lviv, or Warsaw.
- 20 vacation days and unlimited sick leave.
- Equipment provided if needed.
- Health insurance in Ukraine or abroad after probation.
- Corporate library and online meetings; training compensation.
- Relocation/housing support and team-building activities.
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