new aml deployment within - sas institute · 2017. 10. 30. · sas aml for landsbankinn •banks...
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Business BreakfastSAS
®AML
Moscow, 2017
AML Deployment within 3 Months
Case Study: Icelandic Bank
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Business BreakfastSAS AML
Moscow, 2017
Christopher GhenneSAS Security and Intelligence
Practice
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Business BreakfastSAS AML
Moscow, 2017
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Iceland
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High drama in autumn of 2008
• Landsbankinn hf. was established onOctober 7 2008 when the FinancialSupervisory Authority decided to take overthe operations of Landsbanki Íslands hf.from the Bank's owners and seniormanagement.
• Almost all major financial undertakings inIceland became insolvent at the same time.
• Part of the operations of Landsbanki Íslandshf. were transferred to a new bank,Landsbankinn hf., now 99% owned by thestate.
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Total assets of the largest commercial banks before and after the financial crisis
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In 10 years the biggest banks grew from 78% of GDP to 990% and in 2007 all the banks were rated AAA by Moodys
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Compliance & risk challenges
Before 2008
▪ The old bank was located in 17 countries. The bank opened offices in 15 countries over three years.
▪ The management was not willing to focus on risk and compliance. Everything changed 2009 when all the stakeholders including the regulator and IMF required more focus.
▪ New and complex products, new clients, new areas with different legislation.
▪ No time for proper systems and controls.
2009-2012
▪ After the crises the
compliance focus was on
investigations and
communications with the
regulator and the
prosecutor.
▪ Smaller bank with more
simple products and
currency restriction
2012-
▪ In 2012 the tourist boom
started.
▪ Fintech issues.
▪ New regulations - AML 4,
MiFID2, GDPR, EMIR,
IFRS9, CRD4 etc.
▪ More requirements from
stakeholders.
▪ RISK went from focusing ex
post facto to proactively
managing RISK.
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SAS AML for Landsbankinn
• Banks need strong, standardized AML solution to
fight financial crime that can support regulatory
requirements.
• Data warehouse and data feeds to access the right
data with good data quality and data integrity.
• The solution must include:
• Visual analytics tools for identifying patterns and trends.
• Customer Due Diligence to assist with the risk assessment.
• A sanction screening solution.
• Real time sanction screening for SWIFT and SEPA payments.
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Implementation Methodology
GO-LIVE IN 12 WEEKS
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AML Pre-configured
• Tier 2-3 market – huge
opportunity
• To avoid re-inventing the
wheel on each project
• New Regulation: 4th EU
directive
• Sales advantage of fixed
price offering
Package
Preconfigured for European
market
Best practices
Quick and efficient delivery
SAS Platform
White-box
Data management capabilities
Analytics and visualization
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AML Accelerator
Project tasks
Additional configurations
Screens
Workflows
Streamlined scenarios
Additional functionalities
Configuration bug fixes
R&D SAS AML code
AM
L R
&D
AM
L P
recon
figure
d
Advantages– Cost-efficient solution for
simple requirements
– Still can handle ad-hoc requirements on top
– Customers that need a scalable solution can quick start
Targets– Even Tier 1 can benefit from
the Packaged solution as a quick start
– Multi tier targets: Tier 2,3,4
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Key for Success: Out of the box scenarios
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Key for Success: Advanced Detection Capabilities
Generating valuable datafor statistical evaluation(parameter tuning)
Account and customer profile buildingStoring balance data and all aggregates for several dimensions of transaction data.
Scenario SegmentationAllows different parameters and thresholds for each segment. All scenarios are segmented.
Below the line alertsA table stores ’alerts’ that does not reach thresholds, but are ’close’ to thresholds.
Quicker data processing for senarios using aggregated data
More accurate detection, enabling more sophisticated parametertuning
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Success Projects
High standard AML system
Effectiveimplementation
SAS technology
SAS Analytical
capabilities
Packagedoffering
SMEdomain
knowledge
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Business BreakfastSAS AML
Moscow, 2017
Videohttps://www.youtube.com/watch?v=7Pf9CT6jM10
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The AML project, how did we succeedVoice from the Client
• From decision to go live in under 6 months.
• Great support from 3rd party vendor
• Very mature Enterprise DataWarehouse, robust data governance, data stewardship, many datamarts, covers most the whole financial dataspectrum of the bank.
• Great internal operational support.
• Good internal SAS expertise.
• Good internal data expertise.
• Great Professional Services Support from SAS.
• The change in strategy at SAS to push customers towards 3rd party vendors is in our case successful.
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