Director, Data Science

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our 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. Apply your analytical skills to define the future of how we serve our customers. How we serve our customers is consistently evolving and is a challenge we gladly accept. Whether you are finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that have a significant impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics in #teamamex. The Credit and Fraud Risk Team of American Express is looking for a Director to lead and develop a team with varied strengths of hard-working risk professionals to build, implement and enhance predictive models that enable better decisions for business portfolios at American Express. Responsibilities Developing and leading machine learning models for credit limit assignment and interacting with business partners to integrate models with business decisions Planning and delivering of hard-working models, meeting agreed target dates and ensuring accurate, efficient implementation of models in production systems Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required Ensuring all deliveries conform to AXP’s Model Risk Governance Framework and regulatory requirements and producing structured and clear documentation Learning industry developments and standard processes, conducting research and development to incorporate best in class modelling methodologies and share with the team Qualifications 6+ years of experience applying ML to solve complex problems for large-scale applications Master’s degree in a quantitative field (data science, mathematics, computer science, statistics, operations research, management) preferred Deep knowledge of business, risk management, and AXP capabilities (preferred) Strong analytical skills and an innovative approach to solving both practical and theoretical business problems Ability to build strong relationships, operate within large cross-functional teams, and influence business partners to drive change Ability to communicate and interact effectively with internal CFR and executive leadership team/partners Intellectual curiosity, adaptability in a dynamic environment, and an ability to re-engineer long-standing processes and infrastructure