Steven Van Winkel, Caia Email & Phone Number

Zurich, Switzerland

Zurich, Switzerland

- Built an extensive intraday feature library (based on minute bars)- Implement systematic, machine-learning based intraday strategies. Strategies generated high returns since deployment- Created portfolio based on principles of Hierarchical Risk Parity- Responsible for fund management

Zurich, Switzerland

- Implement a fully quantitative and systematic investment strategy- Create Machine Learning models to predict financial markets with a forecast horizon between 5 and 90 days- Optimize models using feature selection, defining suitable learning variables, optimizing models using hyperparameter tuning- Using macroeconomic and technical data for forecasts.

Zürich Area, Switzerland

− Create systematic and quantitative financial market forecasts: focus on equity and fixed income− Research using advanced machine learning techniques in Python (using random forests, feature importance, learning variables) − Develop automated fund operations and research tools, Python based (month-end NAV updates, research indicators) − Direct contact for.

Zurich, Opfikon

Product Specialist within Portfolio Advisory:- Providing trade ideas for UBS non-discretionary portfolio advisors, portfolio reviews- Developing and running models that generate and distribute portfolio optimized investment ideas across all major asset classes (Fixed Income, Equity, Alternative Investments) and product types (Cash, Structured.

Zurich, Opfikon

- Selling and trading US & EU equities to international banks, asset managers, UHNWI's and internal UBS trading desks- Offering customers timely market information and analysis- Equity block trades, Initial/Secondary Public Offering, Portfolio Trading, ETF Selection

Cape Town Area, South Africa

− Improving quantitative models and sentiment indicators to provide investment decisions− Performing analysis and background tests of investment ideas− Further projects included interest rate and commodity analysis

Zurich, Opfikon

− Developed knowledge of complex equity derivatives and structured products− Supporting the structured products team in the creation and emission of new products− Common tasks included the pricing and back testing for new issues as well as helping with client demands and inquiries− Programming of a tool to support product Life-Cycle events

Master In Banking And Finance, Banking And Finance, 5.6/6

Quantitative Methods, Financial Markets, Financial Methods, Price Dynamics in the Energy Market, Alternative Investments, Financial.

Bachelor'S Degree, Economics, Gpa: 4.9/6

Micro and Macroeconomics, Empirical Economic Research, Finance Bachelor Thesis: Interest Rates and Monetary Policy at the Zero Lower Bound.

Ib Diploma, Economics, Mathematics, German

Activities and Societies: Theatre, Cross-Country Team, Ski Team

Education record