leadership session: running critical

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Leadership session: Running critical FSI applications on AWS

F S I 2 0 1 - L

Frank Fallon

Vice President ofFinancial Services

AWS

Santosh Bardwaj

Vice President—Advanced Analytics & Cloud Data Technology

Discover Financial Services

Robert Palatnick

Managing Director and Global Head of Technology Research and Innovation

Depository Trust & Clearing Corporation

Nitin Tandon

CTO

Vanguard

Agenda

A brief history of Financial Services…at re:Invent

Transformation is top of mind

Customer perspectives

Building a brighter future on AWS

The Financial Services industry continues to evolveReflecting on Financial Services themes at re:Invent

Common themes

• Dev & test

• Resiliency

Common themes

• Disaster recovery

• Risk management

Common themes

• Security & compliance

• Account management

Common themes

• Digital channels

• Machine learning

Common themes

• Dev & test

• Resiliency

Common themes

• Disaster recovery

• Risk management

Common themes

• Security & compliance

• Account management

Common themes

• Digital channels

• Machine learning

Rob Alexander

CIO

Capital One

Steve Randich

EVP & CIO

FINRA

Roy Joseph

Managing Director

Goldman Sachs

Dean Del Vecchio

EVP & CIO

Guardian Life

The Financial Services industry continues to evolveReflecting on Financial Services themes at re:Invent

Transformation is top of mind this weekWhat you’ll hear from industry leaders

Nasdaq

From data warehouse to data lake

JPMC

50+ applications moved in three weeks

National Australia Bank

Contact-center transformation

AXA

Global landing zone deployment

HSBC

Open banking with serverless technology

Goldman Sachs

Investment research platform migration

Rabobank

New ML-enabled lending solution

Barclays

New researchdata platform


Customer perspectives


Robert PalatnickManaging Director andGlobal Head of Technology Research and Innovation

Depository Trust & Clearing Corporation

DTCC Public (White)

US $1,854 trillionin securities transactions processed last yearD E P O S I T O R Y T R U S T A N D

C L E AR I N G C O R P O R AT I O N

DTCC Public (White)

DTCC’S global regulators

DTCC Public (White)

Focusing on resiliency

B u s i n e s s r e s i l i e n c e

T e c h n o l o g y r e s i l i e n c e

F i n a n c i a l r e s i l i e n c e

O p e r a t i o n a l r e s i l i e n c e

DTCC Public (White)

Design for resilient IT capabilities

Assume disruptions will inevitably occur

Ensure regional availability

Design for transparent failover

Leverage out-of-region recovery

Minimize data loss and ensure consistency

Ensure resilience success

Build and automate controls and validation

Technology resilience guidelines

DTCC Public (White)

Architectural approach

Resiliency

architecture

principles

Reference

architectureReference

implementation

Services

implementation

DTCC Public (White)

Active engineering of resilience

Jan 2019

Feb 2019

Mar 2019

Apr 2019

Chaos

Failure Mode Analysis

Service Validation

CARE (Cloud Architecture

Resil ience Engineering)

With the experimentation DTCC took on,

AWS was able to improve the replication

latency dramatically within four months

DTCC Public (White)

Cloud-enabled architecture

A W S U S - E A S T - 1 R E G I O N A W S U S - E A S T - 2 R E G I O N

D T C C V P C D T C C V P C

D T C C P R I M A R Y D A T A C E N T E R D T C C A L T E R N A T E D A T A C E N T E R

O N - P R E M I S E S S E R V I C E S O N - P R E M I S E S S E R V I C E S

A P P A P P A P P A P P

Availability Zone 1b Availability Zone 1c

A P P A P P A P P A P P

Availability Zone 2a Availability Zone 2b

C M I C M I P N O P N O

A M A Z O N

R O U T E 5 3

A W S D I R E C T

C O N N E C T

A W S

L A M B D A

A M A Z O N

S 3

A M A Z O N

K I N E S I S

A M A Z O N

A U R O R A

R E P L I C A M A S T E R

A W S

L A M B D A

A M A Z O N

S 3

A M A Z O N

A U R O R AA W S

L A M B D A

A M A Z O N

S 3

A M A Z O N

A U R O R A

R E P L I C A

A W S

L A M B D A

A M A Z O N

S 3

A M A Z O N

A U R O R A

R E P L I C A

A M A Z O N

K I N E S I SA M A Z O N

K I N E S I S

A M A Z O N

K I N E S I S

D T C C T H I R D D A T A C E N T E R

O N - P R E M I S E S E R V I C E S



DTCC Public (White)

Securing Today. Shaping Tomorrow. .


Nitin TandonCTO

Vanguard

Who we are

Vanguard is one of the

world’s largest investment

management companies.

We serve 30 million investors

in 15 countries.

We manage six trillion dollars in investments… in hundreds of low-cost funds.

Every day, our portfolio managers

invest up to two billion new dollars.

We have more than 17,000 crew

members, as we call our employees, in keeping with our nautical theme.

30million

Our purpose:

“To take a stand for all investors, to treat them fairly,

and to give them the best chance for investment success.”

Vanguard’s cloud journey

Committed to public

cloud

“Web Apps”MVC

New development in cloud and“Analytics”

MVC

Web & Analytics expansion

Core website

capabilities

Client website activity

0%

10%

20%

30%

40%

50%44%

18%

7%

4%

3%

2%

80%

Core websiteBalances

Log-on

Trading

AWS

On Premises

Mainframe

Cloud data replicationRead/Write

Java page

Read/ Write

Amazon DynamoDB and Postgres

Microservices

Read

Benefits

Greater client outcomes

75%reduction in

planned downtime

30%decrease in

unplanned downtime

Scalability Agility NWOW


Santosh BardwajVice President—Advanced Analytics & Cloud Data Technology

Discover Financial Services


Using data and cloud to create a competitive advantage for Discover

24

About Discover

Credit Cards

• $144Bn Card Sales Volume

• $74Bn in Credit Card Receivables

Digital Banking

• $52Bn+ Consumer Deposits

• $10Bn Private Student Loans

• $8Bn Personal Loans

Payment Services

• $246Bn Payment Services Volume

• Discover Network:

16 network alliances

• PULSE: ~2.1MM

ATMs in 134 countries

• Diners: 190+ countries/territories

Data-driven customer

experience

MoreData

BetterAnalytics

BetterExperiences

MoreCustomers

Cloud-enabled

transformation

Time to Market Talent

99% reduction

in deployment time

25x growth

in cloud engineers

Scalability Delivery

300% growth

in data footprint

10x improvement

in speed of delivery


CECL: Current Expected Credit Losses

What is CECL?

CECL is a new accounting standardto calculate the Loan Loss Provision

Challenge

Legacy environment not suited for Machine Learning on large datasets

Accuracy is essential

Small changes to the calculation result in millions that need to be reserved

Model Training Model Production

On Premises

Original Plan Days Months (Will Not Complete)

Physical limitations to scale, time to provision large physical footprint,and performance bottlenecks handling large datasets

On Cloud

Current State Hours Days

Containerized analytics processing, automation,

scale on demand, faster processing on Amazon Redshift

Future State Hours Hours

25


Collections Lighthouse results: Digital Edge 2019 Awards winner

Reductionin false positives

Efficient identificationof pre-delinquency

40% reductionin outbound calls

60% reductionin time to market

28% increasein on-track payments, enabling customersto improve theircredit standing

Cloud-enabledcustomer experience through integrationof real-time dataand cloud-hosteddecision capability

26


Closing thoughts

Our customers are building a brighter future on AWS

Modernizing legacy systems

Fulfilling strict security and compliance requirements

Anticipating changing customer needs

Developing and driving new business opportunities


“Go as far as you can see; when you get there, you’ll be able to see farther.”

J.P. Morgan, referencing Thomas Carlyle

Let’s talk

Join us in the

Financial Services LoungeThe Venetian, Level 4, West Alcove

• Monday, December 2Meet & Greet until 6:00pm

• Tuesday, December 310:00am to 6:00pm

• Wednesday, December 48:00am to 6:00pm

• Thursday, December 510:00am to 6:00pm

• Friday, December 68:00am to 12:00pm

Related breakouts

FSI202 AXA: Scaling adoption with a global landing zone

FSI203 NAB: Transforming customer experience with data and machine learning

FSI303 Tale of two cities: Goldman Sachs’ hybrid migration approach

FSI304 Nasdaq: From data warehouse to data lake

FSI305 Barclays: Accelerating research data science using AWS

FSI306 HSBC: Meeting requirements for open banking with serverless

AIM220-S Farmers Insurance elevating customer experience with conversational AI

ANT345-S Tableau Server on AWS enables analytics agility for Capital One

ARC223-S Reimagine SME banking: OpenDATA-enabled innovation at Rabobank

DAT373 Data platform engineering: How Vanguard is migrating data to AWS

STP207 How Coinbase handles incident management by leveraging AWS

Thank you!


Frank Fallon

Vice President of Financial ServicesAWS

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leadership session: running critical

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