As a CFA Charterholder deeply engaged in the fusion of technology and sustainability, I am currently enhancing my expertise through a PhD @ UCL in Computer Science, specialising in Eco AI and Sustainable Machine Learning. My experience as a speaker at industry events highlights my keen interest ...more

As a CFA Charterholder deeply engaged in the fusion of technology and sustainability, I am currently enhancing my expertise through a PhD @ UCL in Computer Science, specialising in Eco AI and Sustainable Machine Learning. My experience as a speaker at industry events highlights my keen interest in talent, technology, and data. With a robust background in quantitative research, I have extensively analysed global equities, focusing on the integration of alternative data, machine learning, and ESG into varied investment frameworks. This journey has also involved managing residual PnL targets, demonstrating my commitment to results-driven approaches in the financial sector Mission: Striving to create data citizens by embedding data and analytics within scientifically rigorous processes; empowering individuals to make better data driven decisions. Motivator: I am passionate about building and managing high performing teams. One personal ambition is to minimise the environmental impact of running complex machine learning models whilst maintaining model performance. Buzzword Bingo / Specialities: Artificial Intelligence (AI) including Applied Data Science & Machine Learning (e.g., Regression, Dimensionality Reduction, Classification, Clustering) | Multivariate Statistics and Financial Econometrics (Longitudinal Analyses) | Alpha Signal Generation | Application of Alternative Data (>1,000 datasets) | Data Engineering and Research System Development/Deployment | Portfolio Risk Analytics | Quantitative Investment Strategies |Portfolio Optimization & Portfolio Construction | Advanced Financial Mathematical Modelling | Algorithmic Development | Data Mining | Quantitative and Fundamental Research & Analysis | Economic and Equity Research | Environmental, Social and Governance (ESG) Factor Integration. Common Technologies & Tools: Python (e.g., Pandas, Numpy, Scipy, Matplotlib, Sci-kit Learn, statsmodels, pymc3, Seaborn, Streamlit, Keras/Tensorflow) | R | SQL | Azure (Batch, Data Factory, DevOps, et al) | Snowflake | Databricks | GIT | Docker | Dataiku | Kubernetes, CI/CD | Microsoft Suite including expert Excel | Trello | Confluence | Vertica | Factset | Bloomberg | Tableau | Eikon / Workspace | VS Code | Postmanless