Director - Data Science

American Express

  • Singapore
  • Permanent
  • Full-time
  • 30 days ago
You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.The RoleThe 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 perform research and development, innovate and build predictive models that enable better decisioning for global consumer portfolios at American Express.Key responsibilities:
  • Researching, innovating and developing next generation of machine learning models for credit decisions as well as next generation of machine learning algorithms.
  • Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
  • 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:
  • 5-7+ years’ experience applying ML to solve complex problems for large-scale applications
  • 5-7+ years of experience applying theoretical models in an applied environment, with successful experience building AI algorithms
  • 3-5+ years’ experience managing data scientists or proven experience building and managing a highly efficient cross-functional science talent pool
  • Reputation for building excitement and a culture of continuous learning leading technical teams
  • Master’s degree in a quantitative field (data science, mathematics, computer science, statistics, operations research, management) preferred
  • Solid applied understanding of latest supervised and semi-supervised (self-learning) Machine Learning solutions. Ability to apply them in code and explain most used ones from a technical point of view, with complete clarity on advantages and disadvantages of each
  • Experience using ML across various applications such as images and text
  • Experience with PyTorch, TensorFlow and other similar open-source ML platforms
  • Understanding of technologies supporting development and implementation of ML solutions at Enterprise scale
  • Extensive knowledge of customer marketing ecosystem across the enterprise
  • Knowledge of Platforms -Big Data - Cornerstone
  • Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
  • Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
  • Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
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
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

American Express