"I began working at American Express in 2007 through a campus recruitment program. I now lead a team managing business intelligence tools and platforms, creating data capabilities and insights for measuring the performance of acquisition channels, marketing campaigns, cobrand products & Digital experience channels. It’s been exciting and rewarding!"

Neha Singh
Vice President, Enterprise Business Intelligence Engineering

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Oversight group within the Global Risk and Compliance organization provides independent validation of all risk models in order to improve the quality of risk outcomes, strengthen long term shareholder value and satisfy regulatory institutions. The successful candidate will be responsible for the review and oversight of consumer and commercial models. The candidate will also be responsible for providing leadership to the team responsible for the validation of AXP's consumer, small business and corporate portfolio. Job requirements:

- Provide leadership for several team members

- Oversee model inventory and classification of models into importance tiers

- Maintain and continuously improve the validation methodology for statistical models

- Maintain and continuously improve the validation methodology for consumer and commercial credit and fraud decisions

- Review and effectively challenge the logical and conceptual soundness of models

- Review model inputs for appropriateness and data integrity

- Review and effectively challenge statistical techniques and financial frameworks used for model development

- Review model documentation

- Write formal model validation assessments and share with the various stakeholders

- Tracking validation findings and the reviewing/monitoring the resolution of the findings

- Perform ongoing model performance evaluation

- Oversee model change management

- Oversee model implementation

- Strong collaboration with business partners

This role may be subject to additional background verification checks.

Qualification

- Strong analytical skills with 4+ years of hands-on model development skills

- 3+ years of previous experience in consumer and/or commercial credit modeling

- Hands-on experience with data manipulation tools and languages such as SQL and SAS

- Hands-on experience with R, JAVA and Python preferred

- Exposure to Machine Learning Algorithms/Techniques preferred

- Good understanding of credit and fraud model applications preferred

- Good understanding of AXP systems, analytical platforms/interfaces and processes preferred

- Post graduate degree (Ph.D. preferred) in statistics, decision science, economics or closely related fields. Expertise in credit analysis, multivariate analysis and statistics / econometric modeling is expected.

- 1-2 years of strong prior people leadership experience preferred

- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.

- Experience in effectively communicating complex analytical results to business partners and senior management.

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