On Tuesday, October 13th at 2PM ET BattleFin hosted a webinar in partnership with QMIT.


Discover the Insights Available from QMIT

QMIT – QuantZ Machine Intelligence Technologies – is a signal provider spun out of QuantZ Capital’s statistical arbitrage hedge fund. QMIT provides investable signals (derived analytics) to investors thereby democratizing access to hedge fund alphas. Combining machine learning with a spanning set of equity smart betas & alt data allows investors / managers to express any linear view on equities. For product details, see https://www.quantzqmit.com/qmit-products

Meet the Panelists:

Milind-Sharma-headshot-2QMIT CEO Milind Sharma’s 25 years of market experience span running prop desks at RBC & Deutsche Bank (Saba unit) as well as hedge funds (QuantZ) & mutual funds (MLIM) not to mention his fintech venture QMIT. His funds have won many awards over the years including those from Morningstar, Lipper, WSJ, Battle of the Quants & BattleFin. He was also a co-founder of Quant Strategies at MLIM (now BlackRock) & Manager of the Risk Analytics and Research Group at Ernst & Young where he was co-architect of Raven TM. His publications have appeared in the Journal of Investment Management, Risk, Elsevier, World Scientific, Wiley etc. In addition to dual MS degrees in Computational Finance & Applied Math he was also in the Logic/ AI PhD program at Carnegie Mellon. Other education includes Oxford, Vassar & Wharton. He is founder & President of the quant society <QWAFAxNEW> (formerly QWAFAFEW New York).

This webinar was moderated by Keith Augustyn, Head of Product for BattleFin.

About this Topic:

Yesterdays alpha is todays beta. Progressively viewed as an asset, data is the intelligence that provides firms with the analytics and insights to improve investment performance. In today’s data-driven culture, how can firms utilize machine learning to manage risk, predict beta, and generate alpha?

This webinar occurred on Tuesday, October 13th at 2PM ET.


Request More Information:

This webinar already occurred. Please fill in the information below to request a meeting with QMIT for more information about their data product: