Vice President, Model Risk Management

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Model Risk Management Group (MRMG) is responsible for the model risk management of all American Express models. The role will report to Head of MRMG and lead some of India teams to manage enterprise-wide model risk.
The successful candidate will be responsible to manage and control model risk in order to elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. Responsibilities include:

• Lead visionary research to explore opportunities to elevate model excellence and drive business impact
• Oversee and support regulatory and audit examinations

Qualifications:

• Core competencies at leading roles related to model risk management or statistical modeling to deal with complex business problems
• Proven people leadership experience with the ability to lead, motivate and mentor highly competent and multi-layered teams, dispersed geographically
• Demonstrated ability and project leadership to lead large scale MRM initiatives
• Exceptional ability to build, leverage, and maintain relationships with senior leaders, business partners, and regulators
• Proven record of designing strategies and communicating effectively to bring senior management and diverse stakeholders on board. Experience with managing regulators, working with external/ internal auditors preferred.
• Understand the evolving compliance and regulatory requirements with key focus on gaps to stabilize and eliminate vulnerabilities in MRM
• Deep understanding in Machine Learning models (e.g., Gradient Boosting Machine, XGBoost, and Neural Network) as well as classic statistical modeling techniques and assumptions
• Degree with quantitative background or equivalent experience

Must Have:

• 10+ years of work experience
• Must have worked in a GSIB in the field of model risk
• Good in-depth understanding of machine learning techniques like GBM, Random Forest etc.
• Should have modeling experience on marketing models.
• Need to have the aptitude to read research papers and turn them into actionable items for MRM (bring external perspective)
• Aptitude to think independently to come up with innovative solutions

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

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