Loading Events

« All Events

  • This event has passed.

AI and Machine Learning in FinTech and FinReg

November 7, 2017 @ 5:30 pm - 7:30 pm

| $20
Venue:
Robert Half Associates
50 California Street
10th Floor
San Francisco, CA 94111
[You must arrive by 6pm. Elevator access to Robert Half offices after 6pm requires a badge]

Sanjiv Das, Professor of Finance and Data Science, Santa Clara University.  

AI and Machine Learning in FinTech and FinReg

http://srdas.github.io/Presentations/FinTech_AI_QWAFAFEW.pdf

San Francisco QWAFAFEW Steering Committee
Jim Quinn, portfolio manager at CalPERS – SF chapter chairman
Members (Alphabetical Order)
Ralph Goldsticker, Senior Investment Strategist at Goldsticker Investment Strategy
Robert Maxim, Duff & Phelps
Jason Ribando, RS Investments
Irene Rusman, Oracle
Seth Stafford, Product Line Manager for Financial Management suite at ServiceNow
Walt French, Nuveen Investments

Membership & Inquiries
our international site is at
2017 Annual membership is $50 and attendance for QWAFAFEW members is free. One time registration is $20 and covers refreshments. To be added/removed to the SF QWAFAFEW mailing list please send email to mailinglist.sf@qwafafew.org. For general inquiries, please send email to sanfrancisco@qwafafew.org

Speaker Bio

The Speaker: Sanjiv Das, Professor of Finance and Data Science, Santa Clara University.

Sanjiv Das is the William and Janice Terry Professor of Finance and Data Science at Santa Clara University's Leavey School of Business. He previously held faculty appointments as Associate Professor at Harvard Business School and UC Berkeley. He holds post-graduate degrees in Finance (M.Phil and Ph.D. from New York University), Computer Science (M.S. from UC Berkeley), an MBA from the Indian Institute of Management, Ahmedabad, B.Com in Accounting and Economics (University of Bombay, Sydenham College), and is also a qualified Cost and Works Accountant (AICWA). He is a senior editor of The Journal of Investment Management, co-editor of The Journal of Derivatives and The Journal of Financial Services Research, and Associate Editor of other academic journals. Prior to being an academic, he worked in the derivatives business in the Asia-Pacific region as a Vice-President at Citibank. His current research interests include: machine learning, social networks, derivatives pricing models, portfolio theory, the modeling of default risk, systemic risk, and venture capital. He has published over ninety articles in academic journals, and has won numerous awards for research and teaching. His recent book "Derivatives: Principles and Practice" was published in May 2010 (second edition 2016). He currently also serves as a Senior Fellow at the FDIC Center for Financial Research.

How to Pay

REGISTRATION

Use the eventbrite link below to register for the meeting ($20)

QWAFAFEW members who have already paid their $50 2017 dues do not need to register.

Eventbrite link –

https://www.eventbrite.com/e/new-venue-qwafafew-sanjiv-das-on-ai-and-machine-learning-in-fintech-and-regtech-tickets-38739277221

The link is valid only before the meeting.

Use the eventbrite link below to register for the meeting ($20)

Details

Date:
November 7, 2017
Time:
5:30 pm - 7:30 pm
Cost:
$20
Website:
http:// http://sanfrancisco.qwafafew.org/event/ai-and-machine-l…ntech-and-finreg/

Organizer

Jim Quinn
Email:
mailinglist.sf@qwafafew.org

Venue

Robert Half Associates
50 California Street 10th Floor
San Francisco, CA , CA 94111 United States
+ Google Map