Quant
Lighting up the black box: a must for investors?
Many contend you must be able to interpret machine learning in order to use it
At Numerai, real-world figures need not apply
AI hedge fund CEO sees the light in black-box technology
‘Huge role’ for quants in Covid-19 response – MIT’s Lo
Policy-maker actions or missteps will drive markets, academic says
Top 10 op risks 2020: talent risk
Firms struggle to reduce headcount and fill gaps without cutting corners
‘Quantamental’ approach convinces Morgan Creek CEO
Proponent of big-picture investing sees growing role for machines, but with caveats
Treasurers turn to AI in bid for sharper forecasting
Wider automation could usher in future of ‘hands-free hedging’, but obstacles lurk in data standards and sharing
Caveat pre-emptor: Man ESG chief talks snubbed markets
Robert Furdak is sparking discussions about responsible trend following in unsustainable stocks
Quant Guide 2020: top programmes lean on alumni networks
For top schools, some of the most important students are the ones that have already graduated
The age of ethical investing, but can quants cope?
Systematic managers grapple with ESG demands of clients
Quant Guide 2020: programmes tap banks for teaching talent
Unis are adding machine learning and data science courses, but need instructors to teach them
Quant Guide 2020: Princeton University
Princeton, New Jersey, US
Quant Guide 2020: Johns Hopkins University
Baltimore, Maryland, US
Quant Guide 2020: University of Illinois at Urbana-Champaign
Urbana and Champaign, Illinois, US
Quant Guide 2020: City University of Hong Kong
Hong Kong, China
Quant Guide 2020: University of Technology Sydney
Sydney, Australia
Quant Guide 2020: Chinese University of Hong Kong, Shenzhen
Shenzhen, China
Quant Guide 2020: Technical University of Munich
Munich, Germany
Quant Guide 2020: Hong Kong University of Science and Technology
Hong Kong, China
Quant Guide 2020: Monash University
Melbourne, Australia