- Consolidates portfolio managers’ and risk managers’ expertise into a structured and rigorous quantitative framework
- Empowers avid learners with background in data science, engineering, computer science, physics and mathematics to gain the deep technical knowledge necessary to operate across the complex world of quantitative trading, asset management and risk management.
Training Theory, live simulations, review sessions
Topics: Data science and machine learning; market, credit & liquidity risk management; factor modeling, portfolio construction, and more.
Academic credit with partner Universities, 40 GARP CPD, 40 CFA Institute CE credits.
Gala Dinner with the top minds in quantitative finance
Social Mixer with hundreds of practitioners and academics
Multiple informal discussion breaks to meet ~500 attendees
Revisit all topics and solidify knowledge in the ARPM Lab, with all the code (Python and MATLAB), documentation, case studies, exercises, simulation clips, slides, and more
Access to the ARPM MOOC: cross linked video recording of the ARPM Bootcamp® lectures