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Operational Risk Landscape H1 2014 Perspectives on the risk events that could affect your firm’s future 2 nd Edition

Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

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Page 1: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

OperationalRisk Landscape

H1 2014

Perspectives on the risk events thatcould affect your firm’s future

2nd Edition

Operational Risk Consortium Limited is a company registered inEngland and Wales with Company Number 05510364

Page 2: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,
Page 3: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Operational Risk Landscape Report

Welcome to our H1 2014 Operational

Risk Landscape report which provides

a unique insight into the loss profile

of the insurance industry.

3

Page 4: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Foreword The operational risk landscape for (re)insurers and

asset management companies has become arguably

more complex, more severe and difficult

to anticipate.

The 2nd edition of our Operational Risk Landscape

report provides a high level overview of the risk events submitted to

ORIC International in H1 2014 compared to the last 5 years. It highlights

the trends we’ve observed and provides a unique insight into the loss

profile of the industry for benchmarking purposes.

As the leading operational risk consortium for the (re)insurance and

asset management sector globally this report has been compiled using

the most complete industry reference on operational risk events.

Few (re)insurers and asset managers have sufficient internal risk event

data. Our members find the access they have to peer risk event data,

industry benchmarks and reference points extremely useful.

Therefore, we trust you’ll find the insights in this report a helpful

contribution in considering your approach to operational risk

management and measurement.

Best wishes,

Caroline Coombe

Chief Executive of ORIC International

Overview of Content This report provides an overview of trends in our consortium risk event

dataset covering:

About ORIC International . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Overview of Consortium Dataset . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

Overview of 2011-H1 2014 Submissions . . . . . . . . . . . . . . . . . . . . . . . 7

Cumulative Frequency & Severity Distribution . . . . . . . . . . . . . . . . . . 8

Analysis of Near Misses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Losses by Business Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Analysis of Loss Events at Categorisation Levels 1 & 2 . . . . . . . . . . 11

Frequency Heat-maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Severity Heat-maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

ORIC International and You: Stronger Together . . . . . . . . . . . . . . . . 14

The Operational Risk Landscape

4

Page 5: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

ORIC InternationalFounded in 2005, ORIC International is the leading operational risk

consortium for the (re)insurance and asset management sector globally.

ORIC currently has 40 members with accelerating international growth.

ORIC is a not-for-profi t organisation dedicated to helping its members

enhance the capabilities of their operational risk functions. ORIC facilitates

the anonymised and confi dential exchange of operational risk intelligence

between member fi rms; providing a diverse, high quality pool of quantitative

and qualitative information on relevant operational risk exposures.

As well as providing operational risk event data, ORIC also provides

industry benchmarks, undertakes leading edge research, sets trusted

standards for operational risk and provides a forum for members to

exchange ideas and best practice. Our comprehensive offering is designed

to empower operational risk professionals to help the business and their

Board in the identifi cation, assessment, management/measurement,

monitoring and reporting of operational risk.

ORIC International ResourcesData Services

Consortium risk event data – Anonymised dataset of c. 7,000 peer risk events, the majority of which are not in the public domain

Scaling tool – Ability to scale consortium risk events to the size of your firm

Public risk event data – Dataset of over 16,500 risk events from the financial services sector which are in the public domain

Content Services ORIC scenario universe – 36 benchmark scenarios which your peers are using

Scenario library – 180+ insurance-specific detailed scenario specifications

KRI – 2,500+ detailed KRI specifications

Thought Leadership Scenario Analysis in Practice, 2014

Scaled Data Methodology, 2014

Creating Value from Risk Events, 2013

Scenario Benchmarking, 2012

Scenario Analysis Best Practice, 2010

Ongoing Research Initiatives

Community Quarterly Member Forums

Operational Risk Insurance Community “ORIC” LinkedIn group

Working Groups – for example Internal Model, Standard Formula

Discussion Groups

About ORIC International

5

Page 6: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Overview of Consortium Dataset

Total Number of Loss Events

Gross Loss (GBP millions)

Average Loss by Member Size (GBP)

528

1,000900800700600500400300200100

0

36

34

32

30

28

36

24

22

20

568 565683

901

491

500450400350300250200150100

500

1,800k

1,600k

1,400k

1,200k

1,000k

800k

600k

400k

200k

0

222 171 182 189

470

219

SmallMediumLarge

2009 2010 2011 2012 2013 H1 2014

No. of members 24 22 26 26 33 34

Life 419 402 416 473 652 294

Non-life 109 166 149 210 249 197

Total number of loss events 528 568 565 683 901 491

2009 2010 2011 2012 2013 H1 2014

Life £194 £112 £122 £117 £268 £168

Non-life £28 £59 £60 £72 £202 £51

Total Gross Loss £222 £171 £182 £189 £470 £219

2009 2010 2011 2012 2013 H1 2014

Small £1,613,352 £481,313 £171,545 £280,025 £170,402 £67,883

Medium £227,419 £181,863 £141,469 £312,529 £527,615 £318,165

Large £551,194 £356,345 £509,115 £259,471 £618,267 £601,748

H1 2014 has seen 491 loss events added to the consortium dataset, with a combined value of £219 million. These submissions account for 8.9% of the total number of loss events and 9.5% of the total Gross Loss amount in the entire dataset. The fi gures below show that the total Gross Loss (GBP) over the last two quarters is larger than any of the annual totals from 2010-2012, with growth in the frequency and severity of submissions outstripping membership growth since 2009.

Have you been experiencing increasingly severe events within your own fi rm this year?

Life

Life

Non-life

Non-life

No

. o

f m

em

be

rs

No

. o

f lo

ss e

ven

tsG

BP

GB

P m

illio

ns

2009 2010 2011 2012 2013 H1 2014

2009 2010 2011 2012 2013 H1 2014

2009 2010 2011 2012 2013 H1 2014

“6

Page 7: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Overview of 2011-H1 2014 Submissions

Have you performed any seasonality analysis of your internal losses, and has it provided any insights into risk event

reporting process and potential control framework gaps?

There seems to be limited seasonality trending when analysing the number of events submitted each quarter. Interestingly when analysing severity, Gross Loss amounts display a regular trend. Every year (apart from 2014 thus far) Q1 and Q4 have the two highest Gross Loss fi gures. This could potentially indicate an increased focus on more material losses during year-end fi nancial reporting.

“ “

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2

Total Number of Loss Events

Gross Loss (GBP millions)

Average Loss (GBP)

350

300

250

200

150

100

50

0

200180160140120100

80604020

0

900k800k700k600k500k400k300k200k100k

0

2011 2012 2013 H1 2014

Q1 155 187 243 319

Q2 109 173 175 172

Q3 130 162 258

Q4 171 161 225

Total number of loss events 565 683 901 491

2011 2012 2013 H1 2014

Q1 £51 £49 £146 £75

Q2 £31 £44 £47 £145

Q3 £45 £40 £102

Q4 £55 £56 £175

Total Gross Loss £182 £189 £470 £219

2011 2012 2013 H1 2014

Q1 £330,055 £263,657 £600,428 £234,340

Q2 £285,210 £255,003 £267,180 £840,694

Q3 £343,781 £244,028 £396,785

Q4 £319,136 £347,151 £777,164

No

. o

f lo

ss e

ven

tsG

BP

GB

P m

illio

ns

2011 2012 2013 H1 2014

2011 2012 2013 H1 2014

2011 2012 2013 H1 2014

7

Page 8: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Cumulative Frequency & Severity Distribution

Is this something that resonates with your own experience over the past year? If not, is there potential for these low frequency/high

severity events to impact your business over the next 6 months and how are you planning on minimising the probability of occurrence?

“ “

Frequency Distribution

Severity Distribution

70

70

60

60

50

50

40

40

30

30

20

20

10

10

0

0

2009-2013H1 2014

2009-2013H1 2014

GBP £10k - £50k

£50k - £100k

£100k - £500k

£500k - £1m

£1m - £5m

£5m - £10m £10m+

2009-2013 58.8% 12.9% 17.9% 4.4% 4.4% 1.0% 0.5%

H1 2014 45.8% 15.0% 20.0% 9.2% 6.7% 2.5% 0.8%

GBP £10k - £50k

£50k - £100k

£100k - £500k

£500k - £1m

£1m - £5m

£5m - £10m £10m+

2009-2013 3.3% 2.3% 9.7% 7.9% 24.2% 18.1% 34.4%

H1 2014 0.8% 0.8% 3.1% 4.0% 10.1% 12.2% 69.1%D

istr

ibu

tio

n %

Dis

trib

uti

on

%

£10k - £50k

£50k - £100k

£100k - £500k

£500k - £1m

£1m - £5m

£5m - £10m

£10m+

£10k - £50k

£50k - £100k

£100k - £500k

£500k - £1m

£1m - £5m

£5m - £10m

£10m+

GBP

GBP

The spike in severity of events over GBP 10m in the first half of 2014 means that those events accounted for 69% of the total Gross Loss submitted to ORIC International, compared to the long-run average of 34% experienced during 2009-2013.

8

Page 9: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Analysis of Near Misses

ORIC International’s study* into the maturity of the risk event process with Oliver Wyman showed that the reporting of near misses is a positive indicator to the maturity of the processes within a firm.

We’ve seen a steady increase in the proportion of near miss events submitted to ORIC International as our membership grows and our members’ internal processes become more developed.

* Contact us for a copy of our study Creating Value from Risk Events

As your business becomes more mature in their event capture process, have you been seeing increased reporting of near misses? In our last quarterly submission, 26% of all

events submitted were near misses, can you beat that? “ “

No

. of n

ear m

isse

s

No

. of n

ear

mis

ses

Number of Near Misses

Quantifiable Near Misses (GBP millions)

Average Potential Loss (GBP)

350

4,000k

300

3,500k

300 140

120

100

80

60

40

20

0

250

3,000k

250

200

2,500k

200

150

2,000k

150

100

1,500k

100

50

500k

1,000k

50

0

0k

0

2009 2010 2011 2012 2013 H1 2014

No. of near misses 58 159 234 300 232 133

2009 2010 2011 2012 2013 H1 2014

No. of near misses 39 74 79 121 93 48

Total potential loss £13 £252 £66 £195 £166 £46

2009 2010 2011 2012 2013 H1 2014

No. of near misses 39 74 79 121 93 48

Average potential loss £323,557 £3,410,220 £834,123 £1,611,919 £1,790,260 £951,807

GB

P m

illio

ns

GB

P

2009 2010 2011 2012 2013 H1 2014

2009 2010 2011 2012 2013 H1 2014

2009 2010 2011 2012 2013 H1 2014

9

Page 10: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Losses by Business Function

How does your Business Function reporting compare? Are there any similarities with our overall dataset? “

Percentage of Losses

Percentage of Gross Loss Amount

50

55

50

40

40

45

45

30

30

35

35

20

20

25

25

15

15

10

10

5

5

0

0

Accounting/Finance

Accounting/Finance

Actuarial-Pricing

Actuarial-Pricing

Actuarial-Reserving

Actuarial-Reserving

Claims

Claims

Facilities

Facilities

Customer Service/

Policy Administration

Customer Service/

Policy Administration

HR

HR

Investment/Treasury

Investment/Treasury

IT

IT

Legal and Compliance

Legal and Compliance

Marketing

Marketing

Other

Other

Outsourcing

Outsourcing

Outwards RI

Outwards RI

Procurement

Procurement

Sales and Distribution

Sales and Distribution

Tax

Tax

Underwriting

Underwriting

2009-2013H1 2014

2009-2013H1 2014

Business Function Submission Quarter

% of Loss

Events

% of GrossLoss

Average Loss(GBP)

Accounting/Finance2009-2013 8.2% 17.5% £812,100H1 2014 7.7% 53.7% £3,100,718

Actuarial-Pricing2009-2013 1.6% 4.0% £934,999H1 2014 1.0% 0.5% £211,492

Actuarial-Reserving2009-2013 0.4% 4.4% £4,157,926H1 2014 0.2% 0.1% £185,297

Claims2009-2013 9.3% 6.4% £262,894H1 2014 10.4% 1.9% £83,362

Customer Service/Policy Administration

2009-2013 46.2% 27.0% £222,465H1 2014 41.1% 24.8% £268,815

Facilities2009-2013 6.2% 4.4% £58,903H1 2014 0.0% 0.0% £0

HR2009-2013 0.8% 0.1% £53,454H1 2014 2.0% 0.2% £52,406

Investment/Treasury2009-2013 1.8% 2.6% £565,291H1 2014 1.8% 1.0% £243,460

IT2009-2013 4.3% 3.8% £335,697H1 2014 6.5% 4.7% £324,618

Legal and Compliance2009-2013 0.6% 0.7% £466,182H1 2014 2.4% 0.7% £126,600

Marketing2009-2013 0.9% 9.0% £3,957,034H1 2014 2.2% 0.3% £51,188

Other2009-2013 2.5% 5.6% £855,574H1 2014 2.0% 0.9% £207,949

Outsourcing2009-2013 2.4% 2.3% £360,382H1 2014 1.6% 2.0% £560,418

Outwards RI2009-2013 0.2% 0.2% £324,359H1 2014 0.2% 0.0% £29,638

Procurement2009-2013 0.2% 0.1% £181,104H1 2014 0.8% 0.1% £37,223

Sales and Distribution2009-2013 13.2% 9.2% £265,170H1 2014 6.9% 3.2% £204,510

Tax2009-2013 0.5% 1.1% £903,339H1 2014 0.6% 0.3% £208,166

Underwriting2009-2013 6.7% 5.9% £338,218H1 2014 12.2% 5.6% £203,785

Lo

ss E

ven

ts %

Gro

ss L

oss

%

The most obvious shifts in the fi rst half of 2014 are the increase of Underwriting events and the severity of Accounting/Finance events. However Customer Service/Policy Administration teams still account for the highest number of events and the second largest percentage of total Gross Loss.

10

Page 11: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Risk Event Level 1 (H1 2014) No. of Loss Events

% of Loss Events

% of Gross Loss

Average Loss (GBP)

Business Disruption and System Failures 44 9.0% 3.3% £164,223Clients, Products and Business Practices 50 10.2% 5.1% £221,602Damage to Physical Assets 1 0.2% 0.0% £15,750Employment Practices and Workplace Safety

9 1.8% 0.1% £32,015

Execution, Delivery and Process Management 354 72.1% 86.6% £536,309

External Fraud 25 5.1% 2.4% £206,872Internal Fraud 8 1.6% 2.6% £714,890

Grand Total 491 100.0% 100.0% £446,749

Analysis of Loss Events at Categorisation Levels 1 & 2

Execution, Delivery & Process Management is consistently the most frequent and severe high-level risk category however we try and divide our dataset.

Although the severity of single events can impact this in the short run, this is a pervasive trend.

Do you have any periods that are an exception to this rule? If so, have you analysed why this is the case during those periods and are there any identifiable lessons from them? “ “

Risk Event Level 2 (H1 2014) No. of Loss Events

% of Loss Events

% of Gross Loss

Average Loss (GBP)

Advisory Activities 16 3.3% 0.4% £54,893Customer Intake and Documentation 54 11.0% 4.0% £163,464Customer or Client Account Management

141 28.7% 9.3% £145,361

Disasters and Other Events 1 0.2% 0.0% £15,750Diversity and Discrimination 1 0.2% 0.0% £51,213Employee Relations 7 1.4% 0.1% £25,665Improper Business or Market Practices 3 0.6% 2.6% £1,901,326Monitoring and Reporting 8 1.6% 0.2% £44,743Product Flaws 9 1.8% 0.2% £40,884Safe Environment 1 0.2% 0.0% £57,271Selection, Sponsorship and Exposure 1 0.2% 0.1% £100,000Suitability, Disclosure and Fiduciary 21 4.3% 1.8% £191,899Systems 44 9.0% 3.3% £164,223Systems Security 1 0.2% 0.0% £15,750Theft and Fraud 31 6.3% 5.0% £350,331Trade Counterparties 4 0.8% 0.1% £60,997Transaction Capture, Execution and Maintenance 137 27.9% 72.7% £1,164,173

Unauthorised Activity 1 0.2% 0.0% £14,925Vendors and Suppliers 10 2.0% 0.2% £43,666

Grand Total 491 100.0% 100.0% £446,749

Risk Event Level 2 (2009-2013) No. of Loss Events

% of Loss Events

% of Gross Loss

Average Loss (GBP)

Advisory Activities 250 7.7% 5.1% £250,460Customer Intake and Documentation 198 6.1% 3.3% £203,425Customer or Client Account Management

699 21.5% 9.9% £174,832

Disasters and Other Events 12 0.4% 0.1% £144,296Diversity and Discrimination 2 0.1% 0.0% £135,851Employee Relations 25 0.8% 0.2% £92,845Improper Business or Market Practices 27 0.8% 2.2% £985,464Monitoring and Reporting 37 1.1% 3.4% £1,137,342Product Flaws 32 1.0% 11.0% £4,253,831Safe Environment 12 0.4% 0.0% £16,052Selection, Sponsorship and Exposure 10 0.3% 0.7% £875,476Suitability, Disclosure and Fiduciary 92 2.8% 1.3% £180,073Systems 254 7.8% 3.0% £146,627Systems Security 2 0.1% 0.0% £47,500Theft and Fraud 132 4.1% 7.2% £670,252Trade Counterparties 90 2.8% 1.6% £213,780Transaction Capture, Execution and Maintenance 1,298 40.0% 47.5% £450,720

Unauthorised Activity 9 0.3% 0.2% £290,476Vendors and Suppliers 64 2.0% 3.3% £628,763

Grand Total 3,245 100.0% 100.0% £379,874

Risk Event Level 1 (2009-2013) No. of Loss Events

% of Loss Events

% of Gross Loss

Average Loss (GBP)

Business Disruption and System Failures 254 7.8% 3.0% £146,627Clients, Products and Business Practices 411 12.7% 20.3% £609,894Damage to Physical Assets 12 0.4% 0.1% £144,296Employment Practices and Workplace Safety

39 1.2% 0.2% £71,422

Execution, Delivery and Process Management 2,386 73.5% 68.9% £355,860

External Fraud 114 3.5% 1.2% £124,523Internal Fraud 29 0.9% 6.3% £2,654,718

Grand Total 3,245 100.0% 100.0% £379,874

11

Page 12: Operational Risk Landscape H1 2014 - WordPress.com · 2014. 12. 16. · The operational risk landscape for (re)insurers and asset management companies has become arguably more complex,

Frequency Heat-maps

-1%1-5%5%+

Heat-maps can be very useful for identifying areas to focus control assessments and internal audits. Comparing the trends in the ORIC data shows a significant increase in the number of events in the Underwriting area, and significantly more severe events in Accounting/Finance. This provides two areas where there is a justifiable reason to perform investigations into their processes and control frameworks in relation to that aspect of their work.

You can see there is some consistency between the two reporting periods, with “Execution, Delivery and Process Management” events consistently accounting for 5%+ of all submitted loss events across these departments: Accounting/Finance, Claims, Customer Service/Policy Administration & Underwriting.

H1 2014 Business Disruption and System Failures

Clients, Products and Business Practices

Damage to Physical Assets

Employment Practices and Workplace Safety

Execution, Delivery and Process Management

External Fraud Internal Fraud Grand Total

Accounting/Finance 0.8% 0.4% 0.0% 0.0% 5.9% 0.4% 0.2% 7.7%Actuarial-Pricing 0.0% 0.2% 0.0% 0.0% 0.8% 0.0% 0.0% 1.0%Actuarial-Reserving 0.0% 0.0% 0.0% 0.0% 0.2% 0.0% 0.0% 0.2%Claims 1.8% 0.6% 0.0% 0.0% 6.1% 1.6% 0.2% 10.4%Customer Service/Policy Administration 0.8% 2.4% 0.0% 0.2% 37.5% 0.2% 0.0% 41.1%HR 0.4% 0.2% 0.0% 0.8% 0.4% 0.2% 0.0% 2.0%Investment/Treasury 0.0% 0.4% 0.0% 0.0% 1.4% 0.0% 0.0% 1.8%IT 4.3% 0.0% 0.0% 0.0% 1.8% 0.2% 0.2% 6.5%Legal and Compliance 0.0% 1.0% 0.0% 0.0% 1.4% 0.0% 0.0% 2.4%Marketing 0.2% 1.0% 0.0% 0.0% 1.0% 0.0% 0.0% 2.2%Other 0.2% 0.0% 0.0% 0.0% 1.0% 0.4% 0.4% 2.0%Outsourcing 0.0% 0.2% 0.0% 0.0% 0.8% 0.4% 0.2% 1.6%Outwards RI 0.0% 0.0% 0.0% 0.0% 0.2% 0.0% 0.0% 0.2%Procurement 0.0% 0.0% 0.2% 0.0% 0.6% 0.0% 0.0% 0.8%Sales and Distribution 0.0% 3.5% 0.0% 0.0% 2.0% 1.0% 0.4% 6.9%Tax 0.0% 0.2% 0.0% 0.0% 0.4% 0.0% 0.0% 0.6%Underwriting 0.4% 0.0% 0.0% 0.8% 10.4% 0.6% 0.0% 12.2%

Grand Total 9.0% 10.2% 0.2% 1.8% 72.1% 5.1% 1.6% 100.0%

2009 – 2013 Business Disruption and System Failures

Clients, Products and Business Practices

Damage to Physical Assets

Employment Practices and Workplace Safety

Execution, Delivery and Process Management

External Fraud Internal Fraud Grand Total

Accounting/Finance 0.4% 0.2% 0.1% 0.1% 7.0% 0.3% 0.1% 8.2%Actuarial-Pricing 0.2% 0.1% 0.0% 0.0% 1.3% 0.0% 0.0% 1.6%Actuarial-Reserving 0.0% 0.0% 0.0% 0.0% 0.4% 0.0% 0.0% 0.4%Claims 0.6% 1.3% 0.0% 0.0% 6.4% 0.7% 0.3% 9.3%Customer Service/Policy Administration 2.1% 1.3% 0.0% 0.3% 40.7% 1.6% 0.2% 46.2%Facilities 0.1% 0.0% 0.1% 0.0% 0.1% 0.0% 0.0% 0.4%HR 0.0% 0.0% 0.0% 0.4% 0.3% 0.0% 0.1% 0.8%Investment/Treasury 0.0% 0.1% 0.0% 0.0% 1.7% 0.0% 0.0% 1.8%IT 2.5% 0.1% 0.0% 0.0% 1.6% 0.1% 0.0% 4.4%Legal and Compliance 0.0% 0.2% 0.0% 0.0% 0.4% 0.0% 0.0% 0.6%Marketing 0.1% 0.3% 0.0% 0.1% 0.5% 0.0% 0.0% 0.9%Other 0.3% 0.2% 0.1% 0.1% 1.4% 0.2% 0.1% 2.5%Outsourcing 0.5% 0.0% 0.0% 0.0% 1.7% 0.2% 0.0% 2.4%Outwards RI 0.1% 0.0% 0.0% 0.0% 0.1% 0.0% 0.0% 0.2%Procurement 0.0% 0.0% 0.0% 0.0% 0.2% 0.0% 0.0% 0.2%Sales and Distribution 0.5% 8.0% 0.0% 0.1% 4.3% 0.3% 0.1% 13.2%Tax 0.0% 0.1% 0.0% 0.0% 0.3% 0.0% 0.0% 0.5%Underwriting 0.5% 0.8% 0.0% 0.2% 5.2% 0.1% 0.0% 6.7%

Grand Total 7.8% 12.7% 0.4% 1.2% 73.5% 3.5% 0.9% 100.0%

Key

12

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Severity Heat-maps

-1%1-5%5%+

In comparison with the Frequency heat-maps on the previous page, there appears to be more variance when assessing the internal distribution of Gross Loss amounts. Execution, Delivery and Process Management, Accounting/Finance and Customer Service/Policy Administration are consistently high; however fewer departments account for 1-5% of the total Gross Loss in H1 2014 compared to 2009-2013. Perhaps this is due to Accounting/Finance representing over 50% of the total Gross Loss so far this year.

Replicating this format for your own losses, are there any areas that are brought to your attention?

Are any of them surprising to you?“ “

H1 2014 Business Disruption and System Failures

Clients, Products and Business Practices

Damage to Physical Assets

Employment Practices and Workplace Safety

Execution, Delivery and Process Management

External Fraud Internal Fraud Grand Total

Accounting/Finance 0.7% 0.4% 0.0% 0.0% 52.4% 0.2% 0.0% 53.7%Actuarial-Pricing 0.0% 0.0% 0.0% 0.0% 0.5% 0.0% 0.0% 0.5%Actuarial-Reserving 0.0% 0.0% 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%Claims 0.4% 0.2% 0.0% 0.0% 0.7% 0.5% 0.1% 1.9%Customer Service/Policy Administration 0.2% 0.6% 0.0% 0.0% 23.9% 0.0% 0.0% 24.8%HR 0.0% 0.1% 0.0% 0.1% 0.0% 0.0% 0.0% 0.2%Investment/Treasury 0.0% 0.2% 0.0% 0.0% 0.8% 0.0% 0.0% 1.0%IT 1.6% 0.0% 0.0% 0.0% 3.1% 0.0% 0.0% 4.7%Legal and Compliance 0.0% 0.6% 0.0% 0.0% 0.1% 0.0% 0.0% 0.7%Marketing 0.1% 0.1% 0.0% 0.0% 0.1% 0.0% 0.0% 0.3%Other 0.2% 0.0% 0.0% 0.0% 0.2% 0.0% 0.5% 1.0%Outsourcing 0.0% 0.0% 0.0% 0.0% 0.2% 0.1% 1.8% 2.0%Outwards RI 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%Procurement 0.0% 0.0% 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%Sales and Distribution 0.0% 2.5% 0.0% 0.0% 0.3% 0.1% 0.2% 3.2%Tax 0.0% 0.2% 0.0% 0.0% 0.1% 0.0% 0.0% 0.3%Underwriting 0.0% 0.0% 0.0% 0.0% 4.2% 1.4% 0.0% 5.6%

Grand Total 3.3% 5.1% 0.0% 0.1% 86.6% 2.4% 2.6% 100.0%

2009 – 2013 Business Disruption and System Failures

Clients, Products and Business Practices

Damage to Physical Assets

Employment Practices and Workplace Safety

Execution, Delivery and Process Management

External Fraud Internal Fraud Grand Total

Accounting/Finance 0.2% 0.5% 0.0% 0.0% 16.7% 0.1% 0.0% 17.5%Actuarial-Pricing 0.0% 0.1% 0.0% 0.0% 3.8% 0.0% 0.0% 4.0%Actuarial-Reserving 0.0% 0.0% 0.0% 0.0% 1.4% 0.0% 3.0% 4.4%Claims 0.1% 1.1% 0.0% 0.0% 4.9% 0.1% 0.3% 6.4%Customer Service/Policy Administration 0.7% 0.6% 0.0% 0.0% 25.1% 0.6% 0.0% 27.0%Facilities 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%HR 0.0% 0.0% 0.0% 0.1% 0.0% 0.0% 0.0% 0.1%Investment/Treasury 0.0% 0.1% 0.0% 0.0% 2.5% 0.0% 0.0% 2.6%IT 1.5% 0.7% 0.0% 0.0% 1.7% 0.0% 0.0% 3.8%Legal and Compliance 0.0% 0.0% 0.0% 0.0% 0.7% 0.0% 0.0% 0.7%Marketing 0.0% 8.8% 0.0% 0.0% 0.1% 0.0% 0.0% 9.0%Other 0.1% 0.3% 0.1% 0.0% 2.2% 0.0% 2.9% 5.6%Outsourcing 0.1% 0.1% 0.0% 0.0% 2.0% 0.1% 0.0% 2.3%Outwards RI 0.1% 0.0% 0.0% 0.0% 0.1% 0.0% 0.0% 0.2%Procurement 0.0% 0.0% 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%Sales and Distribution 0.1% 5.5% 0.0% 0.0% 3.3% 0.2% 0.0% 9.2%Tax 0.0% 0.1% 0.0% 0.0% 1.0% 0.0% 0.0% 1.1%Underwriting 0.2% 2.3% 0.0% 0.1% 3.3% 0.1% 0.0% 5.9%

Grand Total 3.0% 20.3% 0.1% 0.2% 68.9% 1.2% 6.3% 100.0%

Key

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OperationalRisk Landscape

H1 2014

Perspectives on the risk events thatcould affect your firm’s future

2nd Edition

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