Page 13 - MONECO Financial Training Catalogue

PYTHON FOR INVESTMENT PROFESSIONALS

• Implement logging Module 20: Going Further
• Make scripts command-line executable Next Steps:
• Advanced optimization (cvxpy, scipy.optimize)
Module 18: Scheduling & Automation • Machine learning (scikit-learn)
• Schedule Python scripts • Real-time data (websockets)
• Automate data updates • Web dashboards (Streamlit, Dash)
• Set up error notifications
• Build production workflows Resources:
• GitHub repository
Module 19: Some Tips for Building Your Own Workflow • Community Slack
• Monthly Q&A (3 months)

Lecturer: Andreas Steiner
Andreas Steiner is an independent consultant specializing in portfolio analytics
and risk management. The services provided include training, advanced portfolio
analytics software and mandate-based projects for banks, investment managers,
institutional investors and software companies. Andreas has been teaching as a
lecturer at the Zurich University of Applied Sciences in Switzerland, where he gave
courses covering performance analysis, international investing and Behavioral
Finance. Andreas has published several articles in investment-related journals
and is making available his research online in the form of research notes and blog
entries.
Andreas has more than 15 years of working experience in institutional asset
management and private banking. He held various performance and risk-related
roles at Credit Suisse Asset Management and was head investment risk management at LGT Capital
Management. Andreas holds a master’s degree magna cum laude in Economics from the University of
Zurich with specializations in Monetary Economics and Financial Markets.

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