Description: The future of sustainable investing is in the balance. It involves balancing financial and extra-financial considerations, balancing short-term and long-term goals, and balancing interests among stakeholders and over time, while seeking fair outcomes for all. How do investment professionals take the next step to apply these practices in their daily activities? How can investment organizations better align their culture and incentives around solving sustainability issues?

Description: There's never been a more crucial time to stand out. The transformative effect of data science on the finance industry requires today's finance professionals to understand the application of big data, data mining, workflow automation and machine learning in investment decisions. The Financial Data Professional Institute (FDPI), has designed a self-study program to provide financial professionals with an efficient path to learn the essential aspects of financial data science.

Description: African private markets probably present the premier opportunity for investing to contribute to the UN's SDGs while also creating attractive financial returns. The potential for bringing solutions for the bottom billion, leveraging Africa's mobile infrastructure, is vast and being used by a lively and creative venture community with increasing numbers of later stage opportunities and the emergence of unicorns such as Zipline and Flutterwave.

Description: How to use a hedge fund database, based on open-sourced hedge fund return and how to gain access to the data and a slew of interesting examples. How do you efficiently clean and manage semi-structured data? Alex and Linus will demonstrate with examples based on factor analysis, correlations, and dispersions and explain why they probably should have picked a different programming language.