Data Orchestration: Write clean, efficient code (Python/SQL) to extract insights, using AI coding assistants (like Cursor) to accelerate development cycles.
AI Implementation: Design and deploy Agentic AI workflows to automate repetitive financial processes (e.g., reconciliation, reporting).
Workflow Automation: Utilize tools like n8n to connect our fintech stack and eliminate manual data silos.
Internal Upskilling: Share best practices and help teammates adopt AI tools in their workflows.
Requirements
2–3 years in Data, Fintech, or Technical Analytics roles.
Hands-on experience with LLMs and Agentic AI frameworks.
Strong proficiency in Python or SQL.
Comfortable working with APIs and automation tools.
Familiarity with AI coding assistants (e.g.Cursor, GitHub Copilot) is a strong plus.
A solid grasp of financial concepts (e.g., P&L, transaction flows, reporting).
Tech Stack
Python
SQL
Benefits
A supportive, diverse and global team with a growth mindset.
A scaling company with great industry professionals.
A flexible (hybrid) working environment.
Great opportunities to get involved with exciting projects.