financial services trihug

© 2012 Datameer, Inc. All rights reserved.


Hadoop in Financial Services

Adam Gugliciello, Solutions Engineer

February, 2012


Data Warehouse

Expensive

ETL

Slow

Business Intelligence

Expertise

Hadoop

Economical

Raw Load

Fast

Drag and Drop,Spreadsheets

Self Service

A Different Approach…


Internal Asset MovementInternal Asset Movement

Focus: Institutional RiskIdentify departmental asset movement

• Actual “Rogue Trader” identified using Datameer

Craft an early-warning system for future detectionAggregate sources and correlateNet result: reduced risk


Client Risk ProfilingClient Risk Profiling

Focus: Bank Assets• Identify profile-scoring features in loans and mortgages• Build qualifying models with Datameer• Test models against existing data• Provide recurring reports

Focus: Client Assets• Monitor risk across product offerings for all client assets• Develop common base of client characteristics for models• Analyze risk types: default, liquidity, attrition risk• Monitor: transactions, web, email, chats and call logs (all of the

different ways clients interact with the bank)Net result: correlation and increases agility


SLA AnalyticsSLA Analytics

Focus: Infrastructure PerformanceCompanies are using Datameer to aggregate all logs to HadoopTransform log-data into actionable insight into IT systems performanceMeasure conformance to existing SLA’sReduce the batch windowNet result: reduced costs


Security & FraudSecurity & Fraud

Focus: Client protectionRun statistical models against customer profilesDetect anomalies with pattern-recognition algorithmsIdentify and investigate identity theftDetect and prevent fraudProtect customer assetsNet result: protected customers


Data Quality & ProfilingData Quality & Profiling

Focus: ProfilingUse profiling techniques to assess and score of client accountsRun complex data quality rules and modelsBuild exception reporting

Focus: Data QualityEnable data stewards to run ad hoc analysis and dashboardsDrive iterative processes to refine dataNet result: reduce risk and cost


Security InfrastructureSecurity Infrastructure

Focus: infrastructure protectionMonitor external intrusionsDetect suspicious trafficView security aggregatesCorrelate disparate attack sourcesNet result: increased security


Dark Pools and Cost Savings

Focus: Trade and Partner Analyses•Financial Institutions often hold large positions that they want to trade in ways that don't affect public markets•Dark pools are private venues that enable trading for this practice•It’s a big data problem:

• Large volumes• High velocity• Low visibility


All talk, little action

indication of interest,action (quote/buy/sell/fulfill),“symbol”,“quantity”,“price”

Footer

HeaderFinancial Information eXchange (FIX)


Order Family Analysis

sell

cancel

Time

Instrument

Vendor

buy

Analyze Order Families


A Second in the life…


Cut through the noise


Questions and Answers….

financial services trihug

Technology