Big Data & Analytics for Banking Summit Insight & Innovation with Data Science

December 1 & 2, 2015 New York Marriott Downtown

Confirmed Speakers

Confirmed Speakers• Vice President, Enterprise Architecture, Bank of America

- Merrill Lynch

• SVP, Data Architecture, Citi

• Head of Global Analytics, HSBC

• Managing Director, Database Marketing, BNY Mellon

• Director, Performance Analytics, American Express

• SVP, Advanced Analytics, GE Capital

• Managing Director, Risk Technology, Credit Suisse

• Head of Risk Architecture, AIG Investments

• Director, Strategy & Analytics, CIBC

• VP, Analytics, Northern Trust

• VP, Enterprise Data Management, State Street

• VP, Security Architecture, Deutsche Bank

• Chief Data & Analytics Officer, Metlife

• Head of Data Management, Citi

• Senior Director, Risk Modeling, Freddie Mac

• Chief Model Risk Officer, Discover Financial Services

• Senior Vice President, Analytics, Bank of the West

• Vice President, Credit Risk, Wescom Credit Union

• Manager, Digital Analytics, Discover Financial Services

• Director, Strategic Analytics, CIBC

• Head of Data Architecture, Credit Suisse

check back regularly for more industry leading speakers

Previous Delegates Include • Director, Global Fraud Analytics - Barclaycard

• Exec Director, Lead Data Architect - JPMorgan Chase

• Exec Director, Insights & Analytics - Morgan Stanley

• Managing Director - Moody’s Analytics

• Director, Risk Strategy - BBVA

• Director, FIG- SNL Financial

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level executives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President /Principal

SVP/VP

C-Level

Snr. Director /Director

Global Head / Head

Snr. Manager /Manager

Academic (1%)

78%

Company Size Of Attendees

8%

11%

25%56%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

81% Attendees are

companies with at least 300 employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

F TI L

The Big Data & Analytics in Banking Summit brings together acclaimed speakers and attendees for deep insight into how the banking and financial service industries uses analytics and data science. The summit will also address how banks can tap into the vast amount of historical data that they possess.

Across many industries, large and small organizations are using analytics and data science to offer greater insight and customer service. As the banking and financial services industries embrace these developments as well, areas such as digital banking, combatting fraud, setting

insurance premiums and mining social media for customer insight offer new ways to drive profit through the use of data.

Illustrated intermittently with case studies and deep-dive discussions, the Big Data & Analytics for Banking Summit offers solutions and insight from the leaders in the space. With networking breaks and roundtable discussions also included, this event offers unique insight into how you can transform the focus of your organization around data science.

About The Summit

Keynote Speakers

Siamak Amirghodsi (Sammy) is a world-class senior technology leader with entrepreneurial track record overseeing big data strategies, analytics, data platforming, enterprise architecture, technology roadmapping, multi-project execution and organizational streamlining in Fortune 20 environments.

Siamak is an early big data adapter overseeing the fast growing FX payment analytic and data platform build out for a tier-1 investment bank in United States.

Siamak Amirghodsi SVP, Enterprise Architecture Bank of America - Merrill Lynch

Fast Big Data In-Memory Analytics at Scale - Apache Spark Initiative

Siamak Amirghodsi (Sammy) is a world-class senior technology leader with entrepreneurial track record overseeing big data strategies, analytics, data platforming, enterprise architecture, technology roadmapping, multi-project execution and organizational streamlining in Fortune 20 environments.

Siamak is an early big data adapter overseeing the fast growing FX payment analytic and data platform build out for a tier-1 investment bank in United States. Siamak’s interest are big data, Hadoop, Spark, streaming systems, deep machine learning, cognitive models, google brain project, swarm algorithms, quantum computing, trading signal discovery, financial cycles, cryptography, digital / virtual currencies, probabilistic graphical models and NLP.

Cary Correia has been the principal leader and designer of the account targeting systems for GE Capital over the last 14 years. During his tenure as their Commercial Decision Sciences Leader he introduced and led the first models that introduced the concept of account targeting to drive sales force effectiveness and to optimize sales force deployment and budgeting. Over the years, his leadership has developed a very diverse suite of models that have been used in direct B to B, indirect B to C, specialty markets and vertical market targets for GE Capital.

Cary Correia SVP, Marketing & Advanced Analytics GE Capital

Enhance Your Account Targeting System Using Structured & Unstructured Data

A business needs a healthy supply of accounts that can drive conversion and profitability. Building a targeting system using existing data can be a worthwhile endeavor but many variables needed to define an account’s “worth” do not exist in your data warehouse. This presentation walks you through a typical design of an account targeting system and then outlines how to blend both structured and unstructured data to clean your accounts, create new variables and drive conversion for your business.

Confirmed Speakers

Sunil Choudhary Head of Global Analytics HSBC

Sunil has progressive management and operational experience with expertise in process improvement, optimization, development and implementation of Financial Crime and Regulatory Compliance solutions Sunil is also experienced in leading global initiatives to align risk management practices with business goals.

Aligning Risk Management Practises With Business Goals

In this presentation, Sunil will discuss his extensive experience in driving process improvement, optimization, development and implementation of Financial Crime and Regulatory Compliance solutions, whilst also keeping in line with overall business objectives.

Driving Innovation At The Federal Reserve With Big Data

In the context of shrinking government budgets, the public sector is starting to turn to big data to help get the job done. Bajinder will discuss his work in enhancing the US financial system as a part of the Board of Governors at the Federal Reserve.

Bajinder Paul Associate Director, Board of Governors Federal Reserve System

As the Associate Director of the Federal Reserve System(FRS), Board of Governors, I provide strategic leadership in the oversight of the FRS more than $1.4B annual IT portfolio delivering critical information services to more than 15,000 users nationally and globally. I provide strategic leadership in the planning, and execution of conducting independent and continuous oversight review and assessment of Information Technology of on-going operations as well as the strategic planning and implementation of IT modernization strategic roadmap of all of the 12 Federal Reserve Banks nationally.

Revitalization Through Smart Data

The insurance industry is one of the oldest in America, historically bullish on data analysis, statistics and number-crunching. To stay competitive, many insurance companies have anxiously explored the promise of recently emerging data management and analysis tools. Hamilton will discuss his work to make MetLife to stand out by focusing those efforts internally, innovating around Big Data software to not only recruit top talent, but to empower that talent throughout the organization.

Hamilton Faris Chief Data & Analytics Officer MetLife

Josh Goldberg is a Senior Director of Risk Modeling at Freddie Mac within the Internal Audit department. Since 2009, he helped build and grow the specialist model group within Internal Audit. Prior to Freddie Mac, he served in leadership responsibilities with increasing responsibilities at JP Morgan Chase, Washington Mutual and Republic Mortgage Insurance Company. These responsibilities spanned credit risk management, loan loss reserving, Basel / Economic Capital, and model validation. He has been managing quantitative teams since 2004 and has experience in the mortgage industry since 1998.

Confirmed Speakers

Big Data & Security: Why Vendors Cant Do It All For You

While everyone talks about ‘Big Data’ as the be all and end all – getting full value is a challenge. Your own specific business dictates that you will need to develop you own skillsets in-house in order to truly garner the promise of big data. Learn how – that even with vendor solutions in place – you will still need your own data ‘experts’ to get the full promise of ‘Big Data’.

Jason Remillard VP, Credit Risk & Econometrics Wescom Credit Union

Jason Remillard is Vice President Security Architecture at Deutsche Bank, where he is responsible for Big Data Security & GRC solutions. Prior to joining Deutsche Bank he was a product manager with Dell Software (formerly Quest Software) managing products from the Enterprise Identity and Access Management portfolio. He has been in Internet and Enterprise security for over 20 years, including stints at IBM, Dell Software, Novell, Merrill Lynch, RBC, TD Bank and Deutsche Bank.

Credit Risk Modeling Under Heightened Regulatory Expectations

In this presentation, Adam will discuss how he successfully removed all inherited modelling MRAs, improving CCAR from the bottom tier to the top tier among larger banks.

Adam Lin SVP, Modeling Analytics Wells Fargo

Adam Lin is a risk analytics leader with over 20 years of industry experience. Currently, Adam is a Modeling and Analytics Director at Wells Fargo, responsible for developing credit risk models, including Basel, loss forecasting, and credit scoring. Adam has successfully led teams to develop quantitative models that meet or exceed regulatory expectations. Previously, Adam has worked in risk modeling and credit operations with American Express, JP Morgan Chase, and ING Direct. Adam has a PhD in Economic from the University of Arizona.

Thales Spellacy SVP, Data Architecture Citi

Executive enterprise architect with 15+ years of technology, business, operations and technology management experience, designing and delivering optimized solutions. Able to clarify and determine strategic vision to realize desired business outcomes. Complexity analysis, pattern recognition and determination of reusable assets. Modelling of business capabilities inform road map development to support pragmatic, incremental progress toward target architecture. Broad spectrum of financial products and services.

Delivering High Data Quality To Ensure Timely Aggregate Reports

In this presentation, Thales will discuss his work in overseeing and governing standards and norms at Citi, thereby delivering and executing consistent enterprise alignment and data quality for a robust set of product processors, ensuring the ability to aggregate and report valid and timely data for internal, client and regulatory consumption.

Confirmed Speakers Credit Suisse Big Data Fabric

Credit Suisse is pioneering the commoditization of a big data fabric as captured through a framework consisting of best of breed processing and data architecture platforms, surveillance and security functions, governance and an advanced modeling and development environment for data science. This talk will focus on the commodization of big data, by applying techniques to the Credit Suisse’s Risk Data Fabric (RDF) and Risk Data Algebra to facilitate the standardization of business processes across Front Office silos, and Front-to-Back with the CFO and the Risk functions.

Jack Yang MD, Investment Risk Technology Credit Suisse

Jack Yang leads the development of Strategic Risk Programs (SRP) at Credit Suisse.

Challenger Approaches to Traditional Predictive Models in Banking: Potential Applications of Statistical Learning

Traditional models in banking try to estimate or rank order behavioral outcomes of loan portfolios using a supervised approach with specified outcomes and fixed effects. Being built on historical data, they are slow to adapt to new data patterns. New techniques have emerged that can potentially overcome the shortcoming of traditional approaches. Regulators are increasingly looking for financial institutions to develop sensitivity analysis to key assumptions and build challenger models to test the robustness of estimates. Big data and statistical learning can help serve this growing need.

Josh Goldberg Sr. Director, Risk Modelling & Analytics Freddie Mac

Josh Goldberg is a Senior Director of Risk Modeling at Freddie Mac within the Internal Audit department. Since 2009, he helped build and grow the specialist model group within Internal Audit. Prior to Freddie Mac, he served in leadership responsibilities with increasing responsibilities at JP Morgan Chase, Washington Mutual and Republic Mortgage Insurance Company. These responsibilities spanned credit risk management, loan loss reserving, Basel / Economic Capital, and model validation. He has been managing quantitative teams since 2004 and has experience in the mortgage industry since 1998.

Nishit Shah Director, Strategy Support & Analytics CIBC

Responsible for the entire data and analytics needs for Client Account Management(CAM). CAM manages CIBC's delinquent portfolio of $10+ Billion annually with ~ 500 FTE inhouse and multiple 3rd party partnerships.

Leveraging Test & Learn Analytics to Critically Measure Business Outcomes and Optimize Roll-Out Initiatives

Thanks to analytics, Canadian Imperial Bank of Commerce (CIBC) has a much better idea of where its travel rewards program customers are headed these days. Nishit will discuss the progress that CIBC has made using experimentation analytics to drive business outcomes.

Confirmed Speakers

Srategizing Risk Governance for Large-Scale Investments

Customer data that flows into the warehouse from the bank's retail channels gives it a way to monitor, report on and mine the channels and apps customers use and their navigation patterns. Individual data projects, such as putting a monitoring tool on an online channel to see how customers are using it, all flow back into the central data warehouse, so that the next group can benefit from that work and understanding of usage patterns.

Schyler Thiessen SVP, Head of Risk Modeling & Analytics Bank of the West

Schyler strategizes risk governance, policies and modeling initiatives at Bank of the West.

Improving Efficiency & Collaboration with Centralized Model Risk Management

Can you centrally manage the risk involved in building, deploying and using models while improving efficiency across the model life cycle? That was the goal of Discover Financial Services – a central repository that could help the institution keep tabs on models while facilitating autonomy and special needs of individual business units.

It was a critical need. Like most financial institutions, Discover depends on statistical and financial models for daily and strategic decision making. Virtually everything from determining marketing offers to gauging investment risks is tied to developing and executing complex models built with different tools.

Abhinav Anand Chief Model Risk Officer Discover Financial Services

Dual responsibilities as Head of Model Risk and Head of Operational Risk Management. Manage model validation, model governance, model risk aggregation and reporting teams as well as operational risk quantification and operational risk governance and control teams.

Innovative and results-driven professional with extensive experience leading online solutions from concept to market. Strong background in UX/UI, market segmentation, data modelling, web analytics, search optimization, product and project development across a diverse range of industries.

Insights from Customer-Centric Analytics

This presentation focuses on the customer and the key insights they provide to help guide successful marketing and communications strategies.

Kevin Burt VP, Analytics Northern Trust

Confirmed Speakers

Improving Credit Risk Analysis With SAS

When David Gumpert-Hersh took over as Vice President of Credit Risk at Wescom Credit Union in 2008, the organization – like so many other financial institutions at that time – was in a bit of a bind.

In this presentation, David will go through a granular account of the “lifecycle of the analytic process.”

David Gumpert-Hersh VP, Credit Risk & Econometrics Wescom Credit Union

Moody's Economic Index based Provision Est., Provide State & Federal Regulator Model/Valid., Basel Based Econometric Dashboard via SAS, Monte Carlo, Simulated , & Historical Analytics, Develop Business Cycle Forecasting, Loss Forecast Modeling, Maturation Analytics for M&A, DQ, and Pricing.

Developing Site Personalization Strategies using Big Data

In this presentation, Abhishek will discuss his work in driving successfu l d ig i ta l analyt ics strateg ies for s i te personalization and customer analytics using big data.

Abhishek Vaidya Sr. Manager, Digital Analytics Discover Financial Services

Highly accomplished, result driven professional with > 8 years of progressive experience in fraud risk management within global banks like CITI & Barclays. Demonstrated the ability to streamline processes that significantly reduce losses,drive profitability & improve customer experience.

Lars Hamberg Portfolio Manager AFAM Funds

Lars Hamberg is a portfolio manager at AFAM Funds and involved in several big data projects. Lars has over 20 years experience and previously worked for UBS and ABN AMRO in various roles, including head of research. His academic record includes language studies, a LLM degree from Stockholm University and PhD studies at LTU. Lars has written a book on counter-party risk.

How Predictive Analytics Will Change the Investment Industry

There is plenty of talk on big data but nobody in the financial sector seems to have any leverage on large amounts of streaming unstructured language data, yet. However, the new range of tools on the horizon can learn meaning from context and don’t need to be trained. How can they be used in the investment industry? How do they perform? Will there be a major shift in the competitive landscape, with large technology firms entering the investment management space with better technology and with superior information to trade on?

The Information

Silver Pass

$1495 Access to all sessions & networking

events 7 days access to presentations from the summit via ieOnDemand

$1095 SuperSaver Price

(before September 4)

Diamond Pass

$1995 Full access to this Summit and the

Chief Data Officer Summit, networking events, annual subscription to all content on the Big Data & Analytics channels via

ieOnDemand

$1595 SuperSaver Price

(before September 4)

Gold Pass

$1795 Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$1395 SuperSaver Price

(before September 4)

Registration Pricing

F TI L

For larger groups or special requests contact Sam Button by calling +1 415 992 5352 or email sbutton@theiegroup.com * Team discounts are applicable at the point of registration only.

Group Discount Offers 3 Silver Passes: $3000 ($1000 per attendee) 5 Silver Passes: $4500 ($900 per attendee) 3 Gold Passes: $3900 ($1300 per attendee) 5 Gold Passes: $6000 ($1200 per attendee) 3 Diamond Passes: $4500 ($1500 per attendee) 5 Diamond Passes: $7000 ($1400 per attendee)

Big Data & Analytics for Banking Summit Date: December 1 & 2, 2015 Location: New York, NY Venue: Marriott Downtown Hotel Accomodation: Reserve Online Here | Call: 877-303-0104

On-Demand Pass

$600 Unlimited access to presentations from the summit via ieOnDemand, including

presentations, interviews & the ability to contact speakers

Unlimited access to

ieOnDemand

1 Day Pass

$895 Full access to the sessions to your chosen day of the summit, 7 days

access to presentations from the summit via ieOnDemand

7 Day Access to ieOnDemand

Ways to Register

+1 415 992 5352 +1 323 446 7673 Register here

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1. Delegate Information...

2. Pass Types...SuperSaver Pass Options until September 4, 2015

SuperSaver Silver: $1095 Attendees ____ SuperSaver Gold: $1395 Attendees ____ SuperSaver Diamond: $1595 Attendees ____

Early Bird Pass Options after September 4, 2015 Silver Pass: $1295 Attendees ____ Gold Pass: $1595 Attendees ____ Diamond Pass: $1795 Attendees ____

Group Discount Pass Options 3 Silver Passes $3000 ($1000 per attendee) 5 Silver Passes $4500 ($900 per attendee) 3 Gold Passes $3900 ($1300 per attendee) 5 Gold Passes $6000 ($1200 per attendee) 3 Diamond Passes $4500 ($1500 per attendee) 5 Diamond Passes $7000 ($1400 per attendee)

For larger groups or special requests contact Sam Button by calling +1 415 992 5352 or email sbutton@theiegroup.com * Team discounts are applicable at the point of registration only.

Pass Descriptions: Silver Pass: Access to all sessions & networking events Gold Pass: Access to all sessions, networking events & unlimited access to ieOnDemand Diamond Pass: Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieOnDemand

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before November 2, 2015 incur an administrative charge of 50%. If you cancel your registration after November 2, 2015 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormBig Data & Analytics for Banking Summit December 1 & 2, 2015 | New York Marriott Downtown Hotel For registration or more information on the program, please call Sam Button on +1 415 992 5352 , or fax this registration form to +1 (323) 446 7673

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Schedule

Networking Drinks 17.00 - 19.00

December 2

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

December 1Day One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

F TI L

For sponsorship information contact Euan at ehunter@theiegroup.com

Sponsors

Gold Sponsor Gold Sponsor

Bronze Sponsor Bronze Sponsor

Lunch Sponsor Exhibitor

Silver Sponsor

Associate Sponsor

Exhibitor

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2016 CalendarJanuary Expected Attendees DateLocationBusiness Analytics Innovation Summit 150+ January 28 & 29Las VegasFebruary

Predictive Analytics Innovation Summit 250+ February 11 & 12San DiegoMarchPredictive Analytics Innovation Summit 150+ March 2 & 3Melbourne

Gaming Analytics Innovation Summit 100+ March 3 & 4LondonApril

Social Media & Web Analytics Summit 150+ April 27 & 28San FranciscoSentiment Analysis Summit 150+ April 27 & 28San FranciscoGaming Analytics Innovation Summit 100+ April 27 & 28San FranciscoMayPredictive Analytics Innovation Summit 150+ May 11 & 12LondonHR & Workforce Analytics Innovation 100+ May 11 & 12London

Business Analytics Innovation Summit 150+ May 18 & 19Chicago

Business Intelligence Innovation Summit 150+Chicago

JuneMachine Learning Innovation Summit 100+ June 8 & 9San FranciscoData Science Festival 100+ June 8 & 9San Francisco

Big Data & Analytics for Retail 150+ June 15 & 16ChicagoCustomer Analytics Innovation Summit 150+ June 15 & 16Chicago

September

Banking Analytics Innovation Summit 150+ October 19 & 20Hong Kong

Women in STEM 100+ June 8 & 9San Francisco

October

HR & Workforce Analytics Innovation 150+ October 21 & 22ChicagoNovember

Predictive Analytics Innovation Summit 300+ November 16 & 17Chicago

Marketing Analytics Innovation Summit 150+ May 18 & 19Chicago

Social Media & Web Analytics Summit 150+ November 16 & 17ChicagoBig Data & Analytics Innovation Summit 150+ November 16 & 17LondonGaming Analytics Innovation Summit 100+ November 23 & 24Beijing

DecemberBig Data & Analytics for Banking 150+ December 7 & 8New York

Big Data & Analytics Innovation Summit 200+ March 2 & 3Singapore

Big Data & Analytics Innovation Summit 150+ February 10 & 11Melbourne

Big Data & Analytics Innovation Summit 150+ April 13 & 14Hong Kong

Big Data & Analytics in Healthcare 150+ May 11 & 12Philadelphia

Big Data & Analytics for Pharma 150+ June 8 & 9Philadelphia

Big Data & Analytics Innovation Summit 100+ September 7 & 8ShanghaiBig Data & Analytics Innovation Summit 150+ September 14 & 15Sydney

Big Data & Analytics for Pharma 150+ November 3 & 4Philadelphia

Big Data & Analytics Innovation Summit 150+ November 23 & 24Beijing

AugustBig Data & Analytics Innovation Summit 150+ August 3 & 4Kuala LumpurBig Data & Analytics Innovation Summit 150+ August 3 & 4Shenzhen

ie.

Sponsorship Opportunities

Euan Hunterehunter@theiegroup.com

+1 415 992 5510+44 207 193 4948

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DelegateInvitations

Sports Anlytics Innovation Summit 200+ March 2 & 3Melbourne

Sports Analytics Innovation Summit 200+ April 13 & 14London

Sports Anlaytics Innovation Summit 200+ August 25 & 26San Francisco

November 16 & 17