Senior Data Scientist

Senior Data Scientist – AI/LLM Trading Platform

Overview

We are looking for an experienced Senior Data Scientist to design and implement a high-performance data pipeline for an AI/LLM-powered trading platform. This role involves handling large-scale, unstructured financial data—such as articles, books, and research papers—by collecting, extracting, cleaning, and structuring it for machine learning and trading strategies.

What You’ll Do

• Develop Scalable Data Pipelines – Design and maintain an efficient pipeline to process unstructured data for AI/LLM models.
• Process Unstructured Text Data – Extract and prepare data from diverse sources, including financial literature and research.
• ETL & Data Engineering – Build ETL workflows that unify data from multiple sources into a structured format.
• Ensure Data Quality – Implement validation techniques and anomaly detection for data integrity.
• Collaborate Across Teams – Work closely with quant researchers, AI/ML engineers, and trading professionals.
• Automate & Optimize – Streamline data ingestion, transformation, and storage for efficiency and scalability.

What We’re Looking For

• Education & Experience – Strong academic background in Data Science, Machine Learning, AI, or a related field.
• Technical Skills – Proficiency in Python, SQL, ML frameworks (TensorFlow, PyTorch, scikit-learn), and at least one OOP language (Rust, C++, C#).
• AI & NLP Expertise – Hands-on experience with LLMs, NLP, and AI-driven data processing.
• Financial Data Experience – Understanding of market data structures and working with financial datasets is a plus.
• Cloud & API Knowledge – Familiarity with APIs, cloud computing (AWS, GCP, Azure), and database management.
• Problem-Solving Mindset – Ability to tackle complex data challenges in a trading environment.

Bonus Points

• Background in quantitative finance or trading research.
• Experience with real-time data streaming architectures.
• Exposure to cryptocurrency markets.

If you're passionate about AI, finance, and cutting-edge data solutions, we'd love to hear from you! 🚀