Quantitative

A tech-driven transformation

A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…

Model risk management transformation

Financial institutions have been maturing their approaches to MRM and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading financial institutions seek faster and further movement. Ashutosh Nawani, head…

A helping hand – Addressing industry concerns

The Basel Committee on Banking Supervision’s final revisions to the FRTB guidelines aim to address industry concerns around complexity and capital implications. A forum of industry leaders discusses whether the changes have been effective and how banks…

Machine learning governance

The ability of machine learning models to read great quantities of unstructured data, spot patterns and translate it into actionable information is driving a significant uptake in the technology. David Asermely, SAS MRM global lead, highlights the need…

Fundamentals fuelling smart beta in China

As Chinese equity markets mature and become increasingly driven by fundamentals, the time is right for international investors to invest in smart beta strategies, say Vincent Yam, head of trading, and Weiwei Wang, senior derivatives trader at Guotai…

How to apply Python to complex financial markets

The unprecedented proliferation of data in derivatives markets has led to a rise in popularity of Python, a multipurpose programming language known for its versatility and flexibility. Undoubtedly, the increased adoption of Python has helped enable…

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