NLP Data Scientist

Key Responsibilities

• Build and maintain NLP pipelines to extract investment-relevant events and signals from large-scale unstructured text sources (e.g., news articles, earnings reports, regulatory filings).
• Design analytical frameworks and data models to support both quantitative and qualitative investment research.
• Leverage cloud-native technologies (AWS preferred) for scalable data processing and orchestration.
• Collaborate with investment professionals to define event taxonomies and align NLP outputs with business needs.
• Conduct exploratory data analysis and feature engineering to enhance predictive modeling and portfolio strategies.
• Ensure reproducibility, data integrity, and high-quality code throughout the development lifecycle.
• Communicate findings and methodologies effectively to both technical and non-technical stakeholders.

Must-Have Qualifications

• 4+ years of experience in data science, with a strong focus on NLP.
• Proven expertise in event extraction from textual data using both rule-based and machine learning approaches.
• Advanced proficiency in Python and solid command of SQL.
• Hands-on experience with AWS or similar cloud platforms in analytics or data engineering.
• Strong understanding of supervised and unsupervised learning methods.
• Excellent communication skills and ability to work cross-functionally.

Why Join Us?

• Work at the intersection of AI and finance, shaping the future of investment research.
• Collaborate with a dynamic team of data scientists, engineers, and investment professionals.
• Be part of a firm that values innovation, precision, and real-world impact.