Multivariate.... the re-launch....

 

... science on data ... providing knowledge discovery

 
 
 

Multivariate Relaunch

Inspire

What is BI....Really....

Services Rendered

Intelligent Dashboards

Diagnostic Drilldowns

Quantitative Cartography

RMBS & CRA Mortgages

TheEnd

 
 



Developed data-sourcing and reporting processes that migrated LOB risk-reporting into a single group which oversaw auditing and regulatory data quality governance issues. Provided key components in the risk control production for this major money center bank, across several SAS 9.2 metadata information portals connected to Teradata, DB2, Oracle, SASPlex and SBIL enterprise repositories.

 
Supporting Regulatory Enterprise Credit Risk Reporting
  

               
Audited and optimize all legacy SQL-table creation code by developing a CASE-Condition DB with OCC compliant metrics, across all consumer credit products (Card, UNS, Auto, Small Business, International, MTG, and HE). Created an EG 4.3 reporting system of specific CASE-Condition and aliases that helped establish a “common coded definition” across the enterprise. These defined key metrics (outstanding balance, active/open accounts, APR-outstanding balances, and OCC indicators) were collected monthly across all consumer credit product origination and portfolio tables. Produced optimized re-writes of production SQL resulting in up to 80% reduction in runtime and spool space utilization. 

                 Data-sourced all tables and produced dashboards for the BOD of the
total risk exposure and credit utilization, reporting enterprise wide geographic concentrations. Aggregating across all LOBS with multiple SLA’s, the current monthly total outstanding exposures used standardized CASE-Conditions listed above. Created several production run libraries that migrated all processes into EG4.2 projects.

 
                Used EM6.2 “Rule-Based Technique” to investigate drivers of impaired mortgage accounts.

 
Supporting portfolio credit performance trend tracking by LOB

                Used credit bureau samples to define
peer and total market segments of dealer based auto and specialty brokered loans. These were profile by geographic concentration risk, calculated share of business with current estimated losses and volatility adjusted losses reported at an origination and portfolios level.

 
Supporting Bank Risk Policies monitoring

               
Produced delinquency rates wedges for all enterprise credit risk policy and geographic concentration limits by tracking actual performance against portfolio target levels within domestic and international markets. Rolling historical MTD-QTD-YTD by account open date with total outstanding available, and delinquent balances with reporting delivered on a monthly SLA to all LOB management.

 
Supporting Bank Loan Quality and New Acquisitions

               
Produced monthly source analysis of new credit card acquisitions by geographic and FICO bands. Current VS Previous Month Source Dashboard providing target geography and credit risk indicators measured against a set of credit policy levels. 

 


PROFESSIONAL SUMMARY- Sold and managed several projects to Fortune 100 clients while delivering strategic insights to senior level management. An experienced business intelligence company with more than 25 years experience in synthesizing data by applying multivariate techniques across a wide range of industries uncovering leveragable opportunities while dedicated to organizational growth and profitability. Highly skilled with predictive classification techniques, ARIMA time series approaches, CHAID/Tree decomposition, neural algorithms, and creating variable transformations from optimized binning. Data sources include large transactional files, geodemographically enhanced client master files, syndicated survey and web activity logs. Able to translate client concerns into deliverables that provide immediate impact using excellent communication and interpersonal skills to provide deep dive working end to end solutions.  email to  Daniel Kocis  help@multivariate.com or visit  http://www.linkedin.com/in/multivariate

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