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Adyen is a global financial technology platform providing payments, data, and financial products for enterprise customers including Meta, Uber, H&M, and Microsoft.
You will join the Merchant Potential Liability Team as a Senior Financial Risk Analyst, responsible for evaluating and managing financial risk (particularly chargebacks) across Adyen's portfolio of enterprise merchants and assessing risk for new products. Working closely with Commercial, Product, and Legal teams, you will help scale and innovate Adyen's financial risk management framework and processes while collaborating with major merchants to limit credit losses.
Key responsibilities include:
- Assessing and analyzing merchant business models and financial health, providing credit risk advice to the Adyen credit risk committee
- Driving continuous improvement of the risk management framework, including policies, tools, and processes
- Leading projects end-to-end and collaborating across teams to find optimal merchant solutions aligned with risk management objectives
- Sharing credit risk expertise with Product, Legal, and Compliance teams during new product development
- Communicating Adyen's credit risk management approach to merchants, commercial teams, and regulators
The role operates within an international, diverse team across multiple time zones. You will thrive in a fast-paced, evolving environment that values innovation and challenging the status quo.
Requirements:
- Minimum 5 years of working experience in a financial risk environment with keen interest in business and financial markets
- Excellent communication skills; ability to collaborate across cultures and time zones
- Strong problem-solving capabilities and ability to define efficient processes
- Project leadership experience with ability to set clear goals and deadlines
- Thrives in fast-paced, evolving environments with a 'can-do' mentality
- Payments or Fintech experience not required but must demonstrate genuine interest in the space
- Strong data and analytic skills; experience with SQL, Python, or R is a plus but not required
- University degree preferred in business economics, statistics, finance, or another quantitative field
Workplace: Hybrid, 3 days per week in Amsterdam office, 2 days remote.
