Data science jobs in Investment Management industry

Data Science in Investment Management

Asset managers and hedge funds apply data science to alpha generation, portfolio optimisation, risk management, ESG scoring, and alternative data processing from sources such as satellite imagery and web scraping.

Common roles

Quantitative researchers, alternative data scientists, portfolio risk data scientists, and data engineers building financial data pipelines are in demand across long-only funds, hedge funds, and private equity firms.

Key skills

Python, R, time-series econometrics, optimisation (cvxpy, Gurobi), NLP for earnings call transcripts, and experience with financial data providers (Bloomberg, Refinitiv, FactSet) are core.