Director-Data Science

About the Role

Unleash 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 meaningful 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 diverse team of high-performing risk professionals to build, implement and enhance predictive models that enable better new account underwriting decisions for consumer portfolios at American Express.

Responsibilities

• Developing and managing machine learning models for new account underwriting, and interacting with business partners to integrate models with business decisions
• Planning and delivering of high performing models, meeting agreed deadlines 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 robust, clear documentation
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team

Qualifications

• Excellent analytical skills helping to develop and implement predictive machine learning models on large data sets in Hadoop environments using tools such as Hive, Python, and SQL
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Two or more years of experience in credit, fraud or compliance risk management practices in a Financial Services company