Dear All,
We are delighted to announce the new Brooklyn Quant Experience (BQE) Lecture Series (formerly known as the FRE Lecture Series), which will begin Thursday, January 30th at 6PM in the Event MakerSpace, 6 Metrotech Center, 1st Floor.
To kickoff our first lecture this spring, we have invited Dr. Milind Sharma who will present a talk on the following topic:
Title:
From Smart Betas to Smart Alphas
Bio:
Milind Sharma’s 24 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 Risk, JoIM, Elsevier, World Scientific, Wiley etc. In addition to dual MS degrees he was also in the Logic/ AI PhD program at Carnegie Mellon. Other education includes Oxford, Vassar & Wharton.
We look forward to having you join us for the talk and refreshments.
FinTech Applications of AI & Machine Learning in B2B space
With its formidable datasets within domain sets like credit default, economic, security ratings, firmographic & people data, Moody’s is well positioned to develop new products to serve the needs of its clients. The Moody’s Analytics Accelerator group aims to identify, research and develop new business products for new clients and new markets using sophisticated AI & Machine learning techniques that are now ubiquitous in the Consumer space. This talk will focus on how we have brought to market products in the Compliance, Loan Origination, Financial Spreading and Commercial Real Estate domains.
Bio
Rakesh Parameshwar is a Senior Director for Strategy & Innovation in the Moody’s Analytics Accelerator (MAA) group. The MAA group aims to identify, research, and develop new business opportunities, with a special focus on emerging technologies like AI & ML. Before joining Moody’s Analytics in 2018, he was in charge of business strategy and product development for Bloomberg’s Desktop API, Alerts and Quant Solutions group. Prior to this, he had extensive experience working for global banks where he advised clients with risk management solutions and built technology solutions. Rakesh has an MBA from NYU Stern, a Bachelor’s degree in Electrical Engineering from IIT Kharagpur in India and a certificate in Quantitative Finance (CQF)
When
Wednesday January 29, 2020
6 PM – 7PM
Where
University of Waterloo @ Manhattan Institute of Management
2 Washington Street, 17th floor
New York, New York
Collaborative events organized by Bloomberg LP, Global Risk Institute, Cornell Financial Engineering Manhattan, International Association of Quantitative Finance (IAQF), NYU Courant Institute of Mathematical Sciences, and NYU Tandon School of Engineering.
