Wednesday webinar at one: Do traditional attribution models work in the age of data science? (Fully Booked)
Wed 13 Feb 19 at WEBINAR,

Data science techniques can provide useful insights into the investment process which go beyond the traditional factor based model, which attribution analysis has long since embraced. This webinar invites Charles Glah, ASIP and Nick Rogers, ASIP, who argue that in seeking new investment opportunities, data science and new features can add a compelling chapter to the investment story for the asset owner and asset manager, helping them deliver sustainable alpha over the long term.

Charles Glah, ASIP
Founder, Divergence Capital

Charles Glah is a data science researcher and founder of Divergence Capital - a social impact data science research company. He is also a remote consultant for Planet-Tracker. Charles has twenty years experience in portfolio management, working in London, New York, Hong Kong, Singapore, and the African continent for the likes of Citi, BNY Mellon, and M&G Asset Management. Charles also has over five years experience in investing client money in FX.

Charles’ key specialities are portfolio management, technical analysis, fundamental portfolio analysis, risk management, algorithmic trading and attribution analysis.

Nick Rogers, ASIP
Independent Investment Consultant and CEO, NROG Consulting

Nick Rogers, ASIP, has over thirty years experience in performance, attribution and risk and currently works as an Independent Investment Consultant and CEO at NROG Consulting.

Nick has worked in both asset management and custody banking for BNY Mellon and M&G Asset Management. He has ten years experience in building FX Trading models and five years experience in investing clients’ money in FX.

When and where?

Wednesday 13 February 19

Registration: 12:50
Event: 13:00 - 13:40

WEBINAR, Online, Link to be emailed nearer the time,
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Member - ££0
Non-member - ££20

This is eligible for 0.75 CPD hours