Quantitative Finance Intern

We are looking for a **Quantitative Finance / Data Science Intern** to support the development and deployment of its systematic investment framework across Investa funds. The framework combines **financial econometrics, quantitative portfolio construction and machine learning techniques** to build a risk-first investment process spanning robust covariance estimation, systematic signals, asset allocation, portfolio optimisation and cross-sectional instrument selection. You will help turn quantitative research into **robust, production-ready tools** supporting portfolio management and the **Investment Committee** . **Responsibilities** * Develop and test **econometric and ML models** for systematic investing. * Build **Python-based data, modelling and portfolio construction pipelines** . * Work on risk modelling, systematic signals, asset allocation and portfolio optimisation. * Support **deployment, monitoring and validation** of models used across Investa funds. * Develop analytics and reporting for the **Investment Committee** . **Profile** * MSc student or recent graduate in **Quantitative Finance, Data Science, Mathematics, Statistics, Engineering or related fields** . * Strong **Python, statistics and econometrics** skills. * Familiarity with **machine learning** and financial time series. * Strong interest in **systematic investing, financial markets and portfolio management** . * Git, SQL and experience with financial datasets are a plus.