Our client, a global investment management firm, are now actively seeking a Data Scientist with expertise in utilizing cloud technologies and advanced analytics to extract events from unstructured text data. This role requires developing data-driven insights and investment strategies through the application of cutting-edge Natural Language Processing (NLP) and cloud-native technologies.
The role:
- Create, implement, and sustain NLP pipelines to identify investment-relevant events and signals from extensive unstructured text sources, including news articles, regulatory filings, and reports.
- Design and execute robust data models and analytical frameworks that support both quantitative and qualitative investment research.
- Leverage AWS (Amazon Web Services) for scalable data storage, processing, and workflow orchestration.
- Collaborate with investment analysts and other data experts to establish event taxonomies and ensure extraction aligns with business requirements.
- Perform exploratory data analysis and feature engineering to improve predictive modeling and alpha generation.
- Maintain high standards for code quality, reproducibility, and data integrity throughout the development process.
- Clearly communicate findings, methodologies, and recommendations to both technical and non-technical audiences.
What you offer:
- 3+ years of relevant experience in data science.
- Proficient in extracting events from text data using NLP techniques (both rule-based and machine learning).
- Strong skills in modeling and analysis, with expertise in supervised and unsupervised learning methods.
- Advanced programming skills in Python and a solid command of SQL for data extraction, manipulation, and pipeline integration.
- Proven experience with AWS or other leading cloud platforms in data engineering or advanced analytics settings.
- Excellent communication skills for delivering technical insights to diverse teams.
- A history of working with large datasets and deploying data products in scalable production settings.
The sell:
- Competitive salary package (base + bonus)
- Global visibility and the opportunity to work at a buy side institution