Equity Quantitative Research – Quant & Data Insights Team – London
Our client, an equity investment manager in London is looking to expand their Quantitative & Data Insights team. They are looking for a Data Analyst with a strong quantitative background, experience in portfolio construction, and a deep understanding of alternative data. In this role, you will be a key part of the investment research team, analysing large datasets and delivering insights that support investment decisions.
What We're Looking For:
2–5 years of experience as a Data Analyst, with a focus on alternative data.
Genuine interest in financial markets and a desire to explore investment research.
Strong skills in Python and R, with experience in building dashboards and data visualizations.
Practical knowledge of alternative data sources and their application in generating actionable market insights.
Strong ability to derive actionable insights from complex datasets to improve stock selection and portfolio management.
Previous experience in nowcasting techniques and webscraping.
Your Role:
Analyse and model data to support fundamental equity research (using Python and SQL).
Develop quantitative investment models, conduct stress tests, and perform signal testing for equity portfolios.
Provide insights to portfolio managers, helping shape investment strategies and decisions on holdings.
Work alongside data engineers to refine NLP models used for processing equity research documents.
Assist with implementing and evaluating machine learning models that identify patterns in trading or alternative datasets.
Scrape and process unstructured text data to enhance investment insights and portfolio performance.
Investigate investor behaviour to refine stock selection, reduce cognitive biases, and optimize execution.
Apply: Please send your CV to quantresearch@octaviusfinance.com