Quant finance is an inherently innovative segment of the banking and finance sector, but it is still part of a largely traditional industry that is limited by its inherited systems - both technological and operational.
But as we inch closer to the industry 4.0 vision of the world, we must take count of what the future holds for quants and quantitative finance. We asked the FutureQuantMinds - tomorrow's quant leaders - to explore the biggest disruptors in the industry and how we need to change in order to welcome our bright new future.
In this compilation of articles, FutureQuantMinds talk about the new innovations machine learning and data offer. But is the industry ready for real change and artificial intelligence?
The FutureQuantMinds weigh in.
The quantifiable power of AI
Frederik Kryger-Baggesen, Quant Analyst, SaxoBank
Deep calibration and rough volatility
Thomas Norman Dam, Senior Analyst, Danske Bank
Gaussian processes and the future of time-series forecasting
Eugene Grigoriev, Quant Strategist, Macquarie Group
Big data's big impact on quant investment strategies
Xiaowei Sun, Risk Methodology Analyst, Deutsche Bank
Interpretability: why AI & ML struggle to take off in finance
Polina Baranova, Quantitative Research Associate, JP Morgan
Deep learning applications in quantitative finance
Sebastien Mollaret, Quantitative Researcher, JP Morgan