Can you tell us a little bit about your background, and how you ended up in your current role?
I started in a Risk analytics background, quickly made a lateral move to Data Science, and progressed linearly from there.
What is the biggest challenge you face within your role today, and how are you looking to tackle it?
Effectively training junior teammates to independently navigate the iterative nature of research and simultaneously bring business partners along with them.
Biggest success you achieved for 2018/ 2019 so far?
Rolling out an in-house analytics alerting product to our investors
What are your Key Objectives for attending the upcoming event?
Identify integration strategies that will aid in rolling out internal solutions to our investment teams
Network with other Data Science professionals from the asset management space
Study presented use cases of AI in finance and derive inspiration for similar opportunities in our firm.
Which connections or content sessions, are you looking to engage with most at the event?
I’m very interested in all the sessions addressing integration of AI with existing workflows and processes.
What are you currently most inspired about in regards to AI & Emerging Tech for Finance?
Like many, I find a lot of appeal in using new techniques to augment our investors’ decisions to more effectively generate alpha. I think the rise of alternative data source use is good for the democracy of the information market, and creates space for alpha.