Data Scientist – Alternative Data | Equity Asset Manager
A leading equity asset manager is hiring a Data Scientist to join its Quantitative & Data Insights team. The role focuses on using alternative and unstructured datasets to support equity research and generate investment-relevant insights.
Key Responsibilities
Develop proprietary data products and analytical tools for equity research teams
Collaborate with portfolio managers and analysts to integrate alternative data insights
Analyse datasets like credit card transactions, job postings, and web traffic for company-level signals
Use NLP to identify company growth, hiring trends, and emerging skills
Evaluate external data vendors and build ETL pipelines for seamless data integration
Enhance NLP models for processing unstructured content from earnings calls and filings
Create visualisation tools and dashboards to communicate data-driven insights
Requirements:
2–5 years of experience as a Data Scientist, Data Analyst, or Quantitative Researcher
Strong programming skills in Python and SQL
Experience working with alternative or unstructured data sources
Ability to collaborate with investment professionals and communicate data insights clearly
Interest in equities, financial markets, and data-driven investment decisions
Why Join:
Contribute to advanced data science techniques in equity research at a top-tier asset manager
Work directly with investment teams on impactful, live research projects
Develop proprietary tools and enhance equity research with alternative data
Gain exposure to data vendor evaluation, pipeline development, and more
To apply: Please send your CV to quantresearch@octaviusfinance.com