Senior Manager-Data Science Lead
4 weeks ago
Unlock Your Potential with AMEX
At American Express, we're committed to empowering our customers, communities, and colleagues to progress in incredible ways. As a Senior Manager-Data Science Lead, you'll play a critical role in helping us achieve this vision.
About the Role:
This is a unique opportunity to lead our Model Risk Management Group, responsible for independent risk management of all American Express models. You'll be responsible for managing and controlling model risk, specifically associated with next-generation Artificial Intelligence or Machine Learning based models.
Key Responsibilities:
- Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud, or other business/risk types.
- Conduct gap assessments and establish robust frameworks to strengthen model risk controls and meet heightened regulatory standards.
- Conduct AI/ML research to explore opportunities and set guidelines to address regulators, elevate model excellence, and drive business impact.
- Communicate results to partners, senior leadership, and various model committees.
Critical Factors to Success:
- Business Outcomes:
- Drive billing, revenue growth, and profitability through advanced analytical techniques.
- Maximize business returns by institutionalizing efficient and accurate models.
- Innovate modeling techniques and variable creation.
- Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning.
- Leadership Outcomes:
- Put enterprise thinking first, connect the role's agenda to enterprise priorities, and balance the needs of customers, partners, colleagues, and shareholders.
- Lead with an external perspective, challenge the status quo, and bring continuous innovation to our existing offerings.
- Demonstrate learning agility, make decisions quickly, and with the highest level of integrity.
- Lead with a digital mindset and deliver the world's best customer experiences every day.
Requirements:
- 4+ years of experience in analytics or big data workstreams.
- MBA, Master's Degree in Economics, Statistics, or related fields from a top-tier institute.
- Hands-on model development or validation experience.
- Strong analytical and relationship and project management skills for driving validation initiatives.
- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
- Good verbal, written, interpersonal skills, and ability to work effectively in a team environment.
- Willingness to collaborate with cross-functional teams to drive validation and project execution.
- Effectively communicating complex analytical results to business partners and senior management.
- Flexibility and adaptability to work within tight deadlines and changing priorities.
- Experience with at least one of the tools such as Python/PySpark is a must-have.
- Sound knowledge of CCAR, CECL, IFRS9, SR11-7.
Benefits:
- 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.
Equal Opportunity Employer:
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.
Background Verification:
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
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