Name: Machine Learning: Considerations for Fairly and Transparently Expanding Access to Credit
Start: 2021-03-03T12:00:00-05:00
End: 2021-03-03T13:00:00-05:00
Location: Online

Machine Learning: Considerations for Fairly and Transparently Expanding Access to Credit

Wednesday

,

March

03

12:00pm

to

1:00pm

EST

RSVP HERE

Coming Soon QuantUniversity Spring School 2021

www.quantuniversity.com

QU Winter school 2021 Speaker Series - Session 7

A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!

Join QuantUniversity for a complimentary fall speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.

Machine Learning: Considerations for Fairly and Transparently Expanding Access to Credit

With Raghu Kulkarni and Steve Dickerson

Recently, machine learning has been used extensively in credit decision making. As ML proliferates the industry, issues of considerations for fair and transparent access to credit decision making is becoming important.

In this talk, Dr.Raghu Kulkarni and Dr.Steven Dickerson from Discover Financial Services will share their experiences at Discover. The talk will include:

- An overview of how ML models are used across financial life cycle

- Practical problems practitioners run into and why explainability and bias detection becomes important.

References:

1- https://www.h2o.ai/resources/white-paper/machine-learning-considerations-for-fairly-and-transparently-expanding-access-to-credit/

2- https://arxiv.org/abs/2011.03156

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So far, we’ve spread the good word in New York City, DC, Philadelphia and Boston. And now we’re coming to you, Atlanta.

Join us for a day of killer keynotes, presentations and networking with peers and industry leaders who are shaking up the mobile advertising game. We’ve carefully crafted an incredible lineup of presenters who are prepared to arm you with new strategies, insights and know-how to take your mobile game to the next level.

Raghu Kulkarni

Raghu Kulkarni, Vice President, Data Science, manages enterprise Machine Learning (ML) modeling for Collections, Fraud, AML and Compliance for Discover Financial Services. He also manages AI/ML research team with focus on explainability and bias detection. He holds PhD in Applied Economics and Masters in Industrial Engineering from Texas Tech University.

Clear your calendar - It's going down! Splash Blocks kicks off on April 21st, and you're invited to take part in the festivities. Splash HQ (122 W 26th St) is our meeting spot for a night of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

Steven S. Dickerson

Steven S. Dickerson is the SVP, Chief Data Scientist for Discover Financial Services. Steve has spent over 20 years using data and analytics to solve a wide-ranging set of problems in the financial services industry while holding leadership positions in Credit Risk, Collections & Recovery, Marketing Analytics, Operations, and AML. Prior to joining Discover, Steve held several analytic focused positions with American Express where he started as an Econometrician. Recently, he and his team have been focused on explainable AI to support credit decisioning under Equal Credit Opportunity Act (ECOA) requirements and Deep Learning/Graph Theory based fraud detection modeling. Steve holds a Ph.D. in Economics from the University of Arizona.

Clear your calendar - It's going down! Splash Blocks kicks off on April 21st, and you're invited to take part in the festivities. Splash HQ (122 W 26th St) is our meeting spot for a night of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

Sri Krishnamurthy, CFA

Sri Krishnamurthy, CFA is the Founder and CEO of QuantUniversity. Sri is the creator of QuSandbox, a platform for experimenting analytical and machine learning solutions for enterprises prior to adoption.

Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA from Babson College.

Clear your calendar - It's going down! Splash Blocks kicks off on April 21st, and you're invited to take part in the festivities. Splash HQ (122 W 26th St) is our meeting spot for a night of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

Schedule

12.00-12.05

Welcome

Sri Krishnamurthy

12.05-1pm

Machine Learning: Considerations for Fairly and Transparently Expanding Access to Credit

Raghu Kulkarni

Steven S. Dickerson

Speakers

Stefan Jansen

Data Strategy | End-to-end ML Solutions

SRI KRISHNAMURTHY, CFA

QUANTUNIVERSITY

Book

The Book of Alternative Data:

A Guide for Investors, Traders and Risk Managers

Alexander Denev, Saeed Amen

D Shahrawat,CFA

FinTech Investment Banking, Rosenblatt Securities

D is responsible for identifying and generating ideas for FinTech companies to grow and connecting them to investors or strategic partners. In this role, he engages with cutting-edge FinTechs, helping them with strategic advice, M&A and capital raising from VCs, PE or institutional investors. D has 20+ years of experience advising financial institutions, tech firms, service providers and regulators on market trends, emerging technology and innovation.

Sri Krishnamurthy,CFA

President

QuantUniversity

Sri is the Founder and CEO of QuantUniversity, a data and quantitative analysis company. Prior to starting QuantUniversity, Sri has worked at Citigroup, Endeca, MathWorks and with more than 25 customers in the financial services and energy industries. Sri is leading development efforts in creating a platform called QuSandbox for adopting open source and analytics solutions within corporations.

Speakers

Dr.Giulia Fanti

Dr. Giulia Fanti is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University. Her research interests span the algorithmic foundations of blockchains, distributed systems, privacy-preserving technologies, and machine learning.

She is a fellow for the World Economic Forum’s Global Future Council on Cybersecurity, and has received best paper awards from ACM Sigmetrics and ACM MobiHoc, as well as an NSF Graduate Research Fellowship.

Giulia is a recent recipient of the Faculty Research Award given by J.P.Morgan Chase on generating synthetic time series datasets

She obtained her Ph.D. in EECS from U.C. Berkeley and her B.S. in ECE from Olin College of Engineering.

Sri Krishnamurthy, CFA

Sri Krishnamurthy, CFA is the Founder and CEO of QuantUniversity. Prior to that, Sri has worked at Citigroup, Endeca, MathWorks and with more than 25 customers in the financial services. Sri is the creator of QuSandbox, a platform for experimenting analytical and machine learning solutions for enterprises prior to adoption.

Sri teaches classes at QuAcademy (www.qu.academy) and teaches graduate courses in Machine Learning and AI at Northeastern University.

Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA from Babson College.

The QuantUniversity Winter School 2021

A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!

Join QuantUniversity for a complimentary winter speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.

Optimization Methods in Finance

^_Authors:

^{_{Gérard Cornuéjols, Carnegie Mellon University, Pennsylvania}}

^{_{Javier Peña, Carnegie Mellon University, Pennsylvania}}

^{_{Reha Tütüncü, Point72}}

^{_{Cambridge University press}}

One lucky attendee will have the opportunity to win Reha's popular book!

Organizer

QuantUniversity is a quantitative analytics and machine learning advisory based in Boston, Massachusetts. QuantUniversity runs various programs and workshops in Boston, New York, Chicago, and online. The company offers online programs in Machine Learning and AI for Financial services

Contact us at info@qusandbox.com to know more.

Checkout our upcoming courses at www.qu.academy

This Session is brought to you by: