Tech Stack
CloudETLJavaScriptPythonSQL
About the role
- Assist in mapping, documenting, and analysing financial workflows (e.g., account onboarding, trade execution, reporting)
- Support senior engineers in implementing improvements to reduce inefficiencies and errors
- Contribute to automation initiatives by building scripts, bots, or workflow tools
- Write basic scripts (e.g., Python, SQL, JavaScript) to clean, transform, and automate data processing
- Support integration of APIs and automation tools
- Help build monitoring dashboards and alerts for critical process pipelines
- Work with data engineers and analysts to understand and maintain data pipelines feeding business-critical processes
- Support experiments with AI/ML models for process automation (e.g., customer support chatbots, fraud detection, anomaly monitoring)
- Document and test pipeline improvements to ensure reliability and accuracy
- Work closely with product, operations, and compliance teams to understand requirements and deliver process improvements
- Learn fintech-specific regulatory requirements (AML/KYC, GDPR, MiFID II) and how they shape operational workflows
- Participate in cross-team projects, contributing with data, automation, and testing support
Requirements
- Basic programming skills (Python, SQL, or similar)
- Interest in data engineering concepts (ETL pipelines, APIs, cloud data platforms)
- Familiarity with AI/ML tools
- Strong analytical and problem-solving mindset
- Curiosity about fintech, financial markets, and automation
- Ability to document processes clearly and work in a structured way