Wednesday, September 23, 2015

Director Individual Credit Modeling American Express New York City

Job Description
American Express is seeking a motivated and result-oriented lead risk manager to play a key role in developing the firms critical credit risk models. In addition, this candidate will assist in assessing whether the credit risk models are producing outputs in-line with the firms expectations, and recommend remediation steps when necessary. The candidate will work with cross-functional teams including Technologies/Data Governance, Finance, Controllership and Banking.
This is a position within the Company’s Risk Management Organization and will be located at American Express Global Corporate Headquarters in New York. The candidate will lead and manage a staff of 3-4 FTEs Focus of this role will be to drive American Express to be “Basel compliant”; Basel is an international banking standard to control how much capital that banks need to put aside to guard against the types of financial and operational risks banks face. This is a critical company-wide business initiative with high visibility by the CRO, CFO and CIO.

• Develop, Implement And Drive Enhancements To Credit Risk Framework And Models For Individual Portfolios With Regards To

Basel Regulatory requirements
Stress Testing
Economic Capital
• Oversee model tracking of performance on an on-going basis; and take remediation steps where necessary
• Interact with Regulatory Agencies and/or the firms Internal Audit Group or Model Validation Group; and drive remediation of any feedback or observations
• Lead of team of 3-4 modeling managers

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Qualifications

Qualifications• Minimum of 3 years of previous credit card modeling experience

• Strong analytical and data analysis (SAS, SQL) skills
• Graduate degree in statistics, decision science, or closely related fields
• Experience in applying advanced statistical and quantitative techniques to solving business problems
• Good verbal, written and interpersonal communication skills
• Ability to collaborate with cross-functional teams to drive business process and project execution
• Must be proactive in identifying issues and recommending resolution to those issues
• Desire to innovate and work on challenging projects within a fast paced and cohesive team
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