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Analyst - Credit Risk Modeling and Analytics

Company :

Allegis Group

Country :

United States

Area :

New York

City :

Long Island City

Sector :

Banking

Specialism :

Credit

Experience :

3 - 5

Salary :

Salary not assigned

Education level :

Masters / MBA

Desired travel :

No

Contract type :

Permanent

Employment type :

Full time

Work permit for :

United States of America

Publication date :

2010 - 01 - 27

Reference :

Description :


• Develop and oversee the implementation of standard model development procedures across all businesses; type of models span across all credit life cycle ranging from underwriting to collections/recovery.
• Develop and oversee the implementation of model validations procedures across all UKRB businesses.
• Ensure timely model performance tracking, and automate the process to drastically improve process/operation efficiencies (where possible) to enable the business to make rapid credit decisions against market condition changes.
• Ensure the compliance of development and validation of models with respect to UKRB, Group Risk and external regulatory guidelines.
• Introduce best-in-class cutting edge techniques of modeling/segmentation through innovation.
• Partner with businesses to develop business solutions through advanced analytical work.

Requirements :


Should have a Valid Work Authorization to work in USA.

• Experience in all aspect of credit risk management focusing on risk policy modeling and tool development.
• Strong track record in developing the best-in-class tools and models for large financial institutions.
• Strong analytical, data driven, results orientated background.
• Strong understanding of lending products from marketing, pricing, and policy perspective.
• Experience working with regulators and compliance.
• Strong ability to train and execute.
• Strong knowledge of SAS software and statistical predictive model development methods.
• Innovative analytical methods on customer behavioural analysis linked to profitability.
• Must have effective planning and prioritization skills.
• Experience in financial services or retail banking.
• Must have excellent verbal and written communication skills.
• Degree in a quantitative discipline.
 

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