Our team is comprised of genuinely gifted minds
His experience includes:
27+ years experience in quantitative research & trading roles within front office of tier 1 investment banks
17+ years experience in the application of data mining and machine learning techniques to solve problems such as: recommendation systems, prediction of client interests, clustering of client behaviour for segmentation.
Research and development of incremental and explainable machine learning techniques within financial services including: clustering, anomaly detection, n-step prediction and diagnosis.
15+ years experience of quantitative trading and structuring roles within front office of tier 1 investment banks and financial services.
10+ years of applying data mining and machine learning techniques to solves problems such as: credit scoring, portfolio construction and optimisation, market regime classification, systematic structured index optimisation and cross asset propriety risk allocation strategies.
He also has experience in algorithmic trading, audit/due diligence and fraud detection in commodity transaction