Career
Engineering & Data Team
3. Data Scientist / AI Engineer
Design and train AI models for underwriting, ESG classification and portfolio risk monitoring.
Remote
Hybrid
Full time
Responsibilities:
Build and fine-tune models for invoice parsing, fraud detection and default risk.
Develop automated ESG scoring tools aligned with UN SDGs.
Collaborate with credit and ops teams to improve decisioning logic.
Requirements:
2–5 years in ML/AI, ideally in finance or lending.
Experience with NLP, risk models and impact metrics.
