Backend Risk Engineer
3 dni temu
Aion Bank SA is a digital bank that operates in a rapidly evolving financial landscape.
We are looking for a skilled Risk Data Engineer to join our team and help us stay ahead of the curve in terms of risk management and data analytics.
The ideal candidate will have a strong background in backend development, data flow management, and risk-related processes. They will be responsible for designing, developing, and optimizing backend systems and APIs to manage risk-related data flows.
Key Responsibilities- Design and develop backend systems and APIs to manage risk-related data flows using Python, Docker, and other relevant tools.
- Automate data flows to increase efficiency and ensure accurate data transformation and seamless integration across multiple markets and systems.
- Implement SQL-based data validations to ensure data accuracy and integrity. Monitor and check these validations daily, ensuring they are met and handling any exceptions that arise.
- Collaborate with other development teams and external partners to ensure smooth system integration and effective communication on any issues related to data flow and risk processes.
The successful candidate will work closely with our team to ensure the smooth functioning of our risk management systems and contribute to the overall success of our digital bank.
Requirements- Strong experience in Python, Docker, and building backend systems and APIs to manage data flows.
- Solid knowledge of SQL to define and manage data validations, ensuring data quality, and handling exceptions within the data pipeline.
- Ability to automate processes and maintain daily system operations, ensuring smooth data flows and timely resolution of issues.
- Experience with CI/CD processes and cloud solutions.
- Familiarity with visualization tools like Looker, Tableau, Reporting Services (nice to have).
- Educational Background: A degree in computer science, finance, statistics, mathematics, econometrics, computer science, or a related field.
- Fluency in English: Strong communication skills, able to work effectively across teams and document processes clearly.
- Attention to Detail: Strong focus on monitoring data quality, identifying issues, and ensuring data integrity throughout the process.
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