Revolutionising finance - The blueprint for implementing AI and automation in investment strategies

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Revolutionising finance - The blueprint for implementing AI and automation in investment strategies

About the speakers
  • Chandni Bhan
    Chandni Bhan
    Global Chief Risk Officer at Wise
    Dr. Chandni Bhan recently joined Wise, global fintech specialising in cross border payments, as their Global Chief Risk Officer. Prior to this she was with Morgan Stanley for more than a decade and held several roles including the Global Head of Quant Research and Model Risk for MSIM, Head of risk MSIM UK and EMEA Head of cross risk stress testing methodology, MS Investment Bank. She has more than 16 years of experience working in Finance, both in front office, as well as risk, with extensive buy side and sell side expertise. She earned her PhD in statistics & probability from Michigan State University. As an experienced data scientist she has pioneered analytical risk frameworks leveraging AI and built data driven global risk functions. She is a big champion for diversity and also actively contributes industry initiatives on the subject.
  • Nicole Königstein
    Nicole Königstein
    Chief Data Scientist and Head of AI & Quantitative Research at Wyden Capital
    Nicole Königstein is a distinguished Data Scientist and Quantitative Researcher, currently working as Chief Data Scientist and Head of AI & Quantitative Research at Wyden Capital and as Head of AI and Quantitative Research at quantmate. Alongside her role in this organizations, she serves as an AI consultant across diverse industries, leading workshops, and guiding companies from the conceptual stages of AI implementation through to final deployment. As a guest lecturer, Nicole shares her expertise in Python, machine learning, and deep learning at various universities. She is a regular speaker at renowned AI and Data Science conferences, where she conducts workshops and educational sessions. In addition, she is an influential voice in the data science community, regularly reviewing books in her field and offering her insights and critiques. Nicole is also the author of Math for Machine Learning published by Manning Publications and the author of the (forthcoming) book Transformers in Action published by Manning Publications

Key takeaways

How is AI & automation implemented in Investments?

Has it impacted the efficiency and productivity of your organisation?

What specific AI technologies or automation tools have you adopted in your operations, and how have they improved your business processes?

What challenges did you face during the integration of AI and automation in your organisation, and how did you overcome them?

How has AI and automation influenced the customer experience?

What measures have you taken to ensure the security and privacy of customer data while utilizing AI and automation?

How do you see AI and automation shaping the future? Are there any areas of processes where you believe these technologies will have the most significant impact?

What are the key benefits or advantages that AI and automation have brought to organisations in terms of cost savings, risk management, or decision making?

How do you balance the use of AI and automation while maintaining a human touch in your fintech services?