Quantitative Analyst – Research & Analytics (Remote)
Core
Extract market-relevant insights from alternative data and sentiment indicators to develop investment signals and validate manager performance across multiple asset classes.
Role type
Senior IC quantitative analyst (research & analytics)
Builds
Proprietary analytical frameworks, predictive models, and risk models for hedge fund and manager research
Domain
Financial markets (hedge funds, alternative data, quantitative research)
Deliverable
production ML models
Required skills
Python (pandas, numpy, scipy, statsmodels, scikit-learn), SQL/NoSQL, time-series analysis, factor modelling, statistics, regression, machine learning, data cleaning, backtesting
Preferred skills
NLP, sentiment analysis, cloud environments (AWS, GCP, Azure), portfolio construction, systematic factor-based strategies
Technologies
Python, pandas, numpy, scipy, statsmodels, scikit-learn, SQL, NoSQL, AWS, GCP, Azure
Responsibilities
Conduct quantitative analysis of hedge fund performance including return decomposition and risk metrics; Develop and maintain proprietary analytical frameworks to assess manager skill; Source, clean, and normalise alternative datasets including sentiment and ESG data; Design and maintain robust backtesting frameworks incorporating transaction costs; Document research methodologies and present findings to internal stakeholders
Seniority
Senior, hands-on IC