2nd Annual Machine Learning in Quantitative Finance

Topics

• Overcoming issues surrounding data quality in ML models
• The best use cases for ML in quantitative finance
• New methods to explain and interpret ML results to stakeholders
• The best utility of alternative data within quantitative strategies
• Comparing recruitments approaches to attract and hire ML experts

Who should Attend

Head of:

• Quantitative Investments
• Quantitative Research
• Quantitative Investment Research
• Quantitative Analytics
• Model Development (in investment banking)
• Quantitative Research for Equities/Fixed Income/Multi Assets