Tech Stack

Description

You will develop and refine data-driven solutions to detect and prevent financial crime. Your focus is R&D in ML, NLP, and Agentic AI, with cross-functional collaboration to empower product and engineering teams.

Requirements

• MSc or PhD in Computer Science, Mathematics, Statistics, Physics, or equivalent experience
• 2-4 years professional experience in data science or related field
• Proficiency in Python and core data science libraries (Pandas, NumPy, Scikit-learn)
• Hands-on experience with TensorFlow or PyTorch
• Familiarity with agentic AI concepts and LLMs

Responsibilities

• Advance R&D in GenAI and Agentic AI, developing prototypes for financial crime detection
• Collaborate with Engineering and Product to integrate AI components into product features
• Evaluate LLM-based systems and Agentic AI systems using robust methodologies
• Conduct exploratory data analysis to identify actionable insights for product improvement
• Research and evaluate emerging tools and best practices in data science and Agentic AI