The Data Governance Risk Calculation Forum October 31, 2006

The Data Governance Risk Calculation Forum

October 31, 2006

Agenda

I.

Introduction: Framing the Challenge

II.

Overview of JPMC Operational Risk Initiatives

III. Achieving the Full Potential of Operational Risk Management

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

1

I. Framing the Challenge

− The consequences of failed operational risk management

The Consequences of Failed Operational Risk Management

ƒ Operation Provide Comfort / April 14, 1994

¾ Black Hawk Helicopter Incident

ƒ American Airlines Flight 965

¾ Miami – Cali / December 20, 1995

ƒ U.S. Financial Services Industry

¾ Publicly disclosed losses 1995 - 2005

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

3

Impact of Operational Risk Is Significant; the Future Uncertain

25

US Financial Services Sector Operational Risk Losses >USD$1mm

Curve Steepens?

Aggregate Loss

Event Count Trend Continues?

150

20 120

Curve Flattens?

15

Loss Levels Decline?

90

10 60

5 30

0

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

0

Ad-hoc Risk Management Systematic Approach Dynamic Risk Management

Source: Fitch Risk; Analysis JPMorgan Chase

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

4

JPMC Operational Risk Framework

ƒ

Definition & Risk Categories

ƒ

Description & Objectives

ƒ

Overall Timeline

Operational Risk Background & Context

Industry Background

Operational risk continues to increase in size, complexity and volatility due to:

• business growth, expansion, etc.

• external environment factors

• change management initiatives

• greater dependencies on complex products, operations and processes

Impact is significant in terms of losses, P/E compression, and reputation risk

For some, the complexity, size and impact of operational risk has outpaced the traditional, ad hoc approach to risk management

Expectations of other stakeholders have also increased, e.g. clients, rating agencies, regulators, auditors, Board members, etc.

JPMC Business Context

The size and complexity of operational risk varies significantly by business

• high frequency / low severity risks (e.g. credit card fraud) are well understood and controlled

• low frequency / high severity risks pose significant challenges

Many significant op risk losses, i.e. > $100m, result from undetected control weaknesses

Challenge: develop cost-effective operational risk framework that:

• improves financial performance by lowering losses and enhancing productivity

• scales down to minimum requirements for lowrisk businesses

• scales up to provide desired functionality for high-risk businesses

6

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

Operational Risk Definition and Risk Categories

Industry / regulatory definition and classifications of Operational Risk are:

Definition

Risk Categories

Operational Risk is the risk of loss resulting from inadequate or failed processes or systems, human factors or external events

For purposes of analysis and aggregation, operational risk is divided into six primary categories:

Risk Category

Clients, Products &

Business Practices

Fraud, Theft &

Unauthorized Activity

Execution & Processing

Errors / Tech Failures

Employment Practices &

Workplace Safety

Physical Asset &

Infrastructure Damage

Other

Risk Types

Suitability issues, breach of fiduciary duties, sales practices and related legal liability & costs

Unauthorized trading, money laundering, internal / external fraud

Front office / mid office / back office execution errors. Technology and infrastructure errors or failures

Wrongful dismissal, harassment and workers comp, and related legal liability and costs

Natural disasters and human-instigated acts of damage

Miscellaneous events

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

7

JPMC Operational Risk Framework and Objectives

We have embarked on a multi-year initiative to develop an integrated operational risk framework that is responsive to business needs and improves our understanding and management of the key drivers of operational risk. The components of the framework are:

Integrated Framework Design

Self Assessment

Governance

Framework

Business

Units

Risk Event

Loss

Reporting

Operational Risk

Capital Allocation

Integrated

Reporting / Best

Practices

Key Risk Indicators

Phoenix is the integrated application supporting this framework

Objectives

• Improve understanding of drivers of operational risk

• Create environment of reliable data, transparency of issues, escalation and accountability

• Move to ‘no surprise’ environment with capacity to identify / address issues as they develop and before losses are incurred

• Improve financial performance through lower losses, reduced volatility, greater productivity and more efficient capital usage

• Meet Basel II regulatory requirements; facilitate compliance with Sarbanes Oxley 404 & FDICIA

8

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

Build-out of the Op Risk framework is a multi-year process

Ad Hoc

No firm-wide data

• Traditional Audit &

Financial reviews

• Operational risk management mostly reactive

Risk

Orientation

Begin loss quantification

• Rigorous self assessment model

• Standard loss data reporting

• Governance framework

Integrated

Analytics

Projections, analysis, capital allocation

• Risk-based capital

• Dashboard reporting

• “Risk driver” analysis

• Root cause analysis

Integrated

Framework

Integrated risk management focused on continuous improvement

• Predictive models

• Correlations across risk classes

• Risk mitigation tools

Error avoidance

Pre 2000

Risk orientation

Integration

2002 2004

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

2006+

9

Phoenix Usage Data YTD June 30, 2006

($ in 000’s)

Business Unit

Asset & Wealth Management

Card Services

Chase Commercial Bank

Investment Bank

Retail Financial Services

Treasury and Securities Services

Subtotal

Private Equity

Chief Investment Office

Central Operations

Subtotal

Central Technology & Operations

Corporate Staff

Audit

Executive

Corporate Finance

Human Resources

Marketing & Communications

Legal/Compliance

Risk Management

Strategy & Development

Real Estate

General Services

Corporate Other

Subtotal

Total

Total

1

329

209

104

789

766

1,172

3,369

8

53

321

382

1,127

518

0

162

43

6

177

32

30

80

60

47

2,282

6,033

0.1%

0.9%

5.3%

6.3%

18.7%

0.0%

8.6%

0.0%

2.7%

0.7%

0.1%

2.9%

0.5%

0.5%

1.3%

1.0%

0.8%

37.8%

100.0%

Number of Users

%

5.5%

3.5%

1.7%

13.1%

12.7%

19.4%

55.8%

Avg Day

2

53

34

12

109

108

146

462

31

34

1

2

133

7

3

1

6

38

0

13

7

3

4

1

216

712

0.1%

0.3%

4.4%

4.8%

18.7%

0.0%

5.3%

0.0%

1.8%

1.0%

0.1%

0.8%

1.0%

0.4%

0.4%

0.6%

0.1%

30.3%

100.0%

%

7.4%

4.8%

1.7%

15.3%

15.2%

20.5%

64.9%

# Assessments

3

Number

447

132

101

599

585

989

2,853

14

12

420

446

522

2

0

270

24

1

6

18

25

37

12

0

917

4,216

%

10.6%

3.1%

2.4%

14.2%

13.9%

23.5%

67.7%

0.3%

0.3%

10.0%

10.6%

12.4%

0.0%

0.0%

6.4%

0.6%

0.0%

0.1%

0.4%

0.6%

0.9%

0.3%

0.0%

21.8%

100.0%

1. Actual Phoenix users as of June 30, 2006. Includes Self Assessment, Risk Event, IT Risk, Administration and Reporting users.

2. Daily average users of Poenix application Q2 2006.

3. Self Assessment data as of June 30, 2006

4. Risk Events from YTD June 30, 2006 (absolute vales). Excludes litigation provisions.

# Risk Events

4

$ Risk Events

4

Number % $ Amt %

135

1,981

59

411

932

145

3,663

124

127

1

2

0

0

12

3,802

2

1

0

0

2

0

4

3

0

0

3.6%

47.0%

1.4%

9.7%

22.1%

3.4%

6,453

46,223

1,534

162,448

67,145

21,127

2.0%

14.3%

0.5%

50.1%

20.7%

6.5%

96.3%

0.0%

0.0%

2.9%

Sa

3.3%

0.0% mp

$12,963 le

0

0

0.1%

0

4,410

0.1%

0.0%

$304,930

1,969

794 Da ta 94.1%

0.6%

0.2%

3.1%

4.0%

123

0

0.0%

0.0%

0.0%

1.4%

0.0%

0.0%

0.0%

0.0%

0.0%

0.0%

0.0%

0

572

549

504

0

0.0%

0.2%

0.2%

0.2%

0.0%

0.0%

0.3%

100.0%

0

$6,158

$324,051

0.0%

1.9%

100.0%

10

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

Risk Calculation Challenges and Opportunities

ƒ

Background and Context

ƒ

Challenges

ƒ

Opportunities

ƒ

Issues to be Addressed

ƒ

What Does Success Look Like?

Background and Context

ƒ Operational risk continues to increase in size, complexity and volatility due to:

¾ normal business growth

¾ external environment factors

¾ significant change management initiatives

¾ increasing dependencies on complex products, operations and processes

ƒ Overall impact is significant in terms of losses. P/E compression, and reputation risk

ƒ For some organizations the complexity, size and impact of operational risk has outpaced the traditional, ad hoc approach to operational risk management

ƒ Expectations of key stakeholders have increased; e.g. clients, auditors, regulators,

Board members, rating agencies, etc.

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

12

Challenges

ƒ Data quantification and analysis goes beyond loss data and capital measurement

ƒ Standard definition / classifications of operational risk just now emerging

ƒ No accepted and practiced taxonomy exists that facilitates good communication regarding operational risk

ƒ The breadth of scope of operational risk crosses multiple types of unrelated risks and business processes. Scope exceeds the expertise of any single team

ƒ Effort is constrained by limitations on data integrity (completeness, accuracy and timeliness of data)

ƒ No market data or viable time series of data exists

ƒ Cultural barriers exist that inhibit full transparency and timely escalation

ƒ Loss data analysis efforts to date are forensic in nature rather than preventative

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

13

Opportunities

ƒ ‘Run rate’ of losses and the capital supporting this risk are meaningful; many losses are the result of ‘surprises’

ƒ Challenge / opportunity exists to develop a framework and toolkit for operational risk which measurably improves financial performance by:

¾ lowering losses

¾ reducing the probability of ‘tail’ events

¾ enhancing productivity

¾ improving capital efficiency

ƒ As loss data collection and quantification becomes more practiced, data can be used for accurate benchmarking and performance measurement

ƒ As the discipline of operational risk management develops and risk quantification becomes more reliable and consistent, opportunities for proactive risk management and real risk transfer will develop

ƒ Measuring risk accurately will greatly facilitate improved risk management

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

14

Issues to be Addressed

ƒ Status quo approach to operational risk management no longer sufficient for key stakeholders

ƒ Improving risk management is the objective, not precise risk measurement

ƒ Understanding the nature of the risks incurred and the quality of the control environment around those risks; avoid the ‘rear-view mirror’ syndrome

ƒ Balancing the unique demands and risk profile of each business unit versus standardizing the approach and toolkit across all businesses

ƒ Understanding operational risks on an ‘End-to-End’ process basis rather than from a vertical organizational hierarchy perspective

ƒ The value proposition of an operational risk initiative is difficult to measure and demonstrate; i.e. what is the ROI and how is success measured?

Where are we going & how can we get there?

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

15

What Does Success Look Like?

ƒ Accurate and timely data produced in cost efficient manner

- profile of the firm’s control environment on end-to-end process basis

- understanding of loss experience and potential for future losses

ƒ Accurate and dynamic risk quantification methodology which provides direct incentives for sustainable process and control improvements

ƒ Process fully oriented to risk management with ownership by and engagement of business managers

ƒ Create “demand pull” for accurate information and drive an environment of “no surprises”

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

16

JPMC Prototype: Integrated View of Operational Risk Metrics

• Operational risk is best understood on an end-to-end process basis as large losses generally occur as the result of simultaneous, multiple points of failure

• Phoenix has the proto-type functionality to enable business managers to see operational risk data components integrated in an end-to-end view of their businesses

• This leverages the current CSA hierarchy structure of Process, Activity, Risk, Control

• See legend below and example on the following page

Control Summary

Activity Description

Process ‘Swim Lanes’

SOX Controls

(shaded)

Business Process Map Legend with Integrated Op Risk Data

Investment Bank Trading Business Americas

Per formance Summary

Overall

Transaction

Ongoing Management

Internal Environment

Research Deal

7

FS-1

Controls

100.0

Credit Limit Check

Transaction Suitability

Appropriateness Policy

Know Your Customer (KYC)

New Product Approval

Significant Transactions Review

Non Standard Transaction

Approval

2%

1%

1%

0%

16%

6%

3%

3%

S c o re

87

82

100

87

Control Ass e s sm e nt

We igh t

100%

44%

22%

34%

# C o nt ro ls

84

29

16

39

Remediation

Risk Accepts

Completed

In Progress

Late

0

0

1

0

$0.2M

Manage Clients

4

# R e d &

Ye llo w

14

7

0

7

Remediation

Risk Accepts

Completed

In Pr ogr ess

Late

1

0

0

0

% R e d &

Ye llo w

17%

24%

0%

18%

Execute Deal

$2.5M

4

A c c e p t e d

4

1

0

3

FS-2

Con trols

96.4

Customer Account Documentation

Client Data Management

Written Customer Identification

New Accounts Review

Provide Client

Support

FS-7 100.0

2

Controls

Client Valuation Processing

Appropriate Disclaimers

2%

1%

0%

2%

1%

1%

0%

0%

FS-3

Cont rols

Transaction Capture

Non-Routine Transactions

Execution Monitoring

Manual T ickets Check

Manage Risk

FS-8

73.7

100.0

Co ntrols

Market Limit Monitoring

Market System Reconciliation

Market Model Review

Exposure Management

Daily Mark to Market

Front-to-Back Reconciliation

Management Signoff

Model Inventory

P&L Explanation

9

2%

2%

2%

1%

16%

2%

2%

2%

1%

1%

6%

3%

1%

1%

1%

FS-4

Co m ple te

Controls

Re m e diation and Im prove m ent Plans

2

0

0

2

Timely Confirmation

Independent Affirmation

-

On T ime

40.0

5

4

0

1

Remediation

Risk Accepts

Completed

In Progress

Late

1

1

0

0

Confirm Deal

$7.0M

2

8%

4%

4%

L a te

2

2

0

0

Settle Deal

% A c c e p t

29%

14%

43%

3

FS-5

Con trols

100.0

Timely Settlement

Funds/Securities Transfer

Signing & Thresholds

1%

1%

1%

0%

Manage Positions &

Cash

FS-9 100.0

Controls

Transaction Amendments

Reserve/Price Adjustments

Transaction/Position Maintenance

Instrument Data Management

Other Reference Data

Management

-

5

5%

1%

1%

1%

1%

0%

-

Capital

% La te

14%

29%

0%

C a p ita l ($ M )

$

$

21

12

$ 9

% o f T o ta l

100%

55%

0%

45%

Remediation

Risk Accepts

Completed

0

0

2

1

$2.2M

In Pr ogr ess

Late

Account and Report

9

Deal

FS-6

Controls

83.6

G/L Balance Substantiation

Compliance with Reg Rpting

G/L Separ ation of Duties

G/L Reconciliation

Credit System Feeds

Credit System Reconciliations

Interentity Reconciliation

Regulatory Reporting Rec

Other Transaction Monitoring

1%

1%

1%

1%

10%

2%

1%

1%

1%

0%

Oversight &

Governance

IE-1

Contro ls

Active Management

New Legislation Review

Management Information

100.0

Business Strategy

Service Level Agreements

6

5%

2%

1%

1%

1%

1%

0%

Remediation

Risk Accepts

Completed

In Pr ogr ess

Late

Compliance

2

0

0

0

IE- 2

Controls

$4.2M

83.3

Compliance Procedures

Registration and Licensing

Transaction Surveillance

Suspicious Transactions

Record Retention Policy

Anti-Money Laundering Training

Adherence to Credit Manual

AML Risk Ranking

8

1%

1%

0%

0%

8%

1%

1%

1%

1%

Risk Management

IE-3

Co ntrols

Control Committee

Error Discovery

Control Review Process

Issue Management

100.0

4

4%

1%

1%

1%

1%

Remediation

Risk Accepts

Completed

In Pr ogr ess

Late

1

0

0

0

$1.7M

Human Resources

4

Management

IE-4

Controls

85.0

Appropriate Skill Sets

Adequate Training

Performance Review Process

Two Week Rule

5%

2%

1%

1%

0%

Remediation

Risk Accepts

Completed

In Pr ogr ess

Late

0

2

0

1

$2.3M

IT Management

8

IE- 5

Cont rols

72.1

Incident Management

Change Contr ol Process

Access Administr ation Process

Access Recertification

Information Classification

Information Ownership

Security Awareness

Data Confidentiality

1%

1%

0%

0%

6%

1%

1%

1%

1%

-

Remediation

Risk Accepts

Completed

In Pr ogr ess

Late

0

0

1

0

$1.1M

Business Continui ty

9

IE- 6

Controls

89.2

Recovery Resources

Business Continuity Plan

Business Continuity Testing

BC Change Management

Personnel

Facilities Access

Essential Business Profile

LOB Crisis Management

Safekeeping of Valuables

0%

0%

0%

0%

0%

5%

1%

1%

1%

1%

P r o c e s s V ie w

P ro c e s s M a p

A c tiv ity D e sc rip tio n

S u b ris ks

C o n t ro ls

S O X -4 0 4 K e y C o n tro ls

C S A S c o re s a n d W e ig h t s

A c tio n P la n s

C S A C a p ita l Im p a c t

R E D D a t a

A u d it Im p a c t

K R I s

$20,000

RED Events

($ Thousands)

Absolute Value

$15,000

$10,000

$5,000

$0

Timing

Economic

2001 2002 2003

$400 $370 $0

$15,451 $1,522 $30

Audit Summary

(12/31/03 Rolling 12 Mo.)

Rating

A

Audits

1

Capital

Impact

B

C

D

F

Total

4

1

0

0

6

$6.7

$6.7

Display Selection Menu

Capital Impact

Op Risk Losses

Audit Profile

Gap Remediation Data Control Ratings Control Score

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

17

E2E Process Map with Operational Risk Metrics: IB-EDG US

Investment Bank

Equities

Equity Derivatives Group - US

Organization View

December 31, 2005

New York

See appendix for legend and data sources.

Note: Activity included in End to End view

Note: Activity included in End to End view

Note: Activity included in End to End view

D

Process View

Process Map

Activity Description

Subrisks

D Controls

D SOX-404 Key Controls

D CSA Scores and Weights

D Action Plans

D CSA Capital Impact

D RED Data

D Audit Impact

KRIs

Audit Summary

(3/31/04 Rolling 12 Mo.)

Rating Audits

Capital

Impact

A

B

0

6

C

D

F

Total

0

7

1

0

$5.6

$5.6

RED Events

($ Thousands)

Absolute Value

$20,000

$15,000

$10,000

$5,000

$0

Timing

Economic

2001 2002 2003

$400 $370 $0

$15,451 $1,522 $30

Note: RED data is as of 12/31/2003

18

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

We Believe Improved Risk Management Can Influence Results

25

US Financial Services Sector Operational Risk Losses >USD$1mm

150

Aggregate Loss

Event Count "Natural Path"

20 120

VALUE

15 90

10

5

"Improved Risk

Management"

60

30

0

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

0

Ad-hoc Risk Management Systematic Approach Dynamic Risk Management

Source: Fitch Risk; Analysis JPMorgan Chase

©2006 JPMorgan Chase & Co. All Rights Reserved. Confidential and Proprietary to JPMorgan Chase & Co.

19

The Data Governance Risk Calculation Forum

October 31, 2006