Deep learning and data science demand prompts portfolio managers to take night classes

The demand for data science talent in the capital markets space has seen portfolio managers and discretionary traders attending night classes in a bid to safeguard their jobs amid a rising tide of automation. The whole asset management industry is moving in the direction of being more systematic, being more quantitative and using new unique data. A lot of firms are struggling in many ways to get their heads around that. While there may be many vanilla data science training courses out there, finding a solid introduction for quantitative finance training with the nuanced level of applicability is not so easy. Leigh Drogen, the founder of crowdsourced financial analysis platform Estimize, designed and created the L2Q (Learn to Quant) programme as a rudimentary introduction for discretionary managers.