Director of Machine Learning Insights [Part 3: Finance Edition]

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👋 Welcome back to our Director of ML Insights Series, Finance Edition! If you missed earlier Editions you can find them here:

• Director of Machine Learning Insights [Part 1]
• Director of Machine Learning Insights [Part 2 : SaaS Edition]

Machine Learning Directors within finance face the unique challenges of navigating legacy systems, deploying interpretable models, and maintaining customer trust, all while being highly regulated (with lots of government oversight). Each of these challenges requires deep industry knowledge and technical expertise to pilot effectively. The following experts from U.S. Bank, the Royal Bank of Canada, Moody's Analytics and ex Research Scientist at Bloomberg AI all help uncover unique gems within the Machine Learning x Finance sector.

You’ll hear from a juniors Greek National Tennis Champion, a published author with over 100+ patents, and a cycle polo player who regularly played at the world’s oldest polo club (the Calcutta Polo Club). All turned financial ML experts.

🚀 Buckle up Goose, here are the top insights from financial ML Mavericks:

Disclaimer: All views are from individuals and not from any past or current employers.

Ioannis Bakagiannis

Background: Passionate Machine Learning Expert with experience in delivering scalable, production-grade, and state-of-the-art Machine Learning solutions. Ioannis is also the Host of Bak Up Podcast and seeks to make an impact on the world through AI.

Fun Fact: Ioannis was a juniors Greek national tennis champion.🏆

RBC: The world’s leading organizations look to RBC Capital Markets as an innovative, trusted partner in capital markets, banking and finance.

1. How has ML made a positive impact on finance?

We all know that ML is a disrupting force in all industries while continuously creating new business opportunities. Many financial products have been created or altered due to ML such as personalized insurance and targeted marketing.