Experienced Remote Director of Data Science and Analytics – American Express Risk Finance Team Leader

Introduction to American Express and the Risk Finance Team American Express is a global leader in the financial services industry, known for its commitment to excellence, innovation, and customer satisfaction. The Risk Finance team, a critical component of the company's Corporate Planning and Analysis (CP&A) division, is responsible for planning, forecasting, and evaluating global Loss Provision and Credit Reserves. This team provides credit-related decision support to Risk Management, local Finance, and business groups on underwriting, customer management, credit, and collections activities. We are now seeking an experienced and skilled Director of Data Science and Analytics to lead our Global Data Strategy group within Risk Finance. Job Overview This 100% remote position offers the successful candidate the opportunity to work from anywhere, with full control over their work environment. As the Director of Data Science and Analytics, you will be responsible for leading the strategic analysis of AXP credit metrics, credit provision, and reserve for Senior Management in Risk and Finance. You will own and manage specific data assets/packages within Risk Finance, becoming a subject matter expert in the applicable tools and driving adoption across the organization. Your primary goal will be to build and maintain centralized reporting capabilities, implement process enhancements and automation, and ultimately drive innovative data solutions to provide robust forecasts and analytics for the wider Risk Finance organization. Key Responsibilities Lead the strategic analysis of AXP credit metrics, credit provision, and reserve for Senior Management in Risk and Finance, providing actionable insights and recommendations to inform business decisions Own and manage specific data assets/packages within Risk Finance, including troubleshooting issues, reconciling results, identifying enhancements and automation opportunities, and training other users to drive adoption Develop and maintain standard and ad-hoc reports used by Risk Finance and/or business partners, providing credit-related analytical support and ensuring data quality and integrity Develop and present key analyses and recommendations to Senior Management, communicating complex data insights and technical concepts in a clear and concise manner Build and maintain relationships across Risk Finance portfolio groups and with partners in Risk, Controllership, Tech, and other stakeholders, fostering collaboration and driving business outcomes Provide decision-support with a strong emphasis on developing analytics that identify trends and opportunities in the portfolio, enabling optimized Business and Risk decisions Required Qualifications To be successful in this role, you will need to possess the following essential qualifications: Advanced experience working with most of the following: SQL/Hive, Power BI/Tableau, Python/R, VBA, TM1, with a strong foundation in data analysis, modeling, and visualization Experience working with a high level of Excel and PowerPoint, including data manipulation, analysis, and presentation Experience in ML modeling is a plus, with a strong understanding of machine learning concepts and techniques Solid financial and analytical skills, with the ability to work with large datasets and draw meaningful conclusions, empowering business partners to make informed, data-driven decisions Superior attention to detail, alongside exemplary organizational and problem-solving skills, with the ability to manage multiple tasks and work within tight timelines Must be results-driven and proactive, with a strong work ethic and excellent interpersonal skills, showcasing the ability to build and maintain relationships and collaborate effectively with team members to achieve goals Master's degree in advanced mathematics or statistical discipline required, with a strong academic foundation in quantitative analysis and data science Preferred Qualifications While not essential, the following preferred qualifications will be highly regarded: Experience working in a similar role within the financial services industry, with a strong understanding of risk finance and credit analysis Knowledge of cloud-based data platforms and tools, such as AWS or Azure, with experience in data migration and integration Experience with agile project management methodologies, such as Scrum or Kanban, with a strong understanding of iterative development and continuous improvement Strong business acumen, with a deep understanding of the financial services industry and the ability to communicate complex technical concepts to non-technical stakeholders Skills and Competencies To be successful in this role, you will need to possess the following skills and competencies: Strong technical skills, with expertise in data analysis, modeling, and visualization Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders Strong business acumen, with a deep understanding of the financial services industry and the ability to drive business outcomes Collaboration and teamwork, with the ability to build and maintain relationships and work effectively with cross-functional teams Problem-solving and analytical skills, with the ability to manage multiple tasks and work within tight timelines Adaptability and flexibility, with the ability to work in a fast-paced and dynamic environment Career Growth Opportunities and Learning Benefits At American Express, we are committed to the growth and development of our employees. As a Director of Data Science and Analytics, you will have access to a range of career growth opportunities and learning benefits, including: Professional development programs, such as training and certification courses, to enhance your technical and business skills Mentorship and coaching, with the opportunity to work with experienced professionals and thought leaders in the industry Networking opportunities, with the chance to connect with colleagues and peers across the organization and industry Access to cutting-edge technologies and tools, with the opportunity to work with innovative solutions and drive business outcomes Work Environment and Company Culture At American Express, we pride ourselves on our dynamic and inclusive work environment. As a remote employee, you will be part of a global team that values collaboration, innovation, and diversity. Our company culture is built on a foundation of: Integrity, with a commitment to ethical business practices and a strong sense of social responsibility Customer focus, with a passion for delivering exceptional customer experiences and driving business outcomes Collaboration, with a emphasis on teamwork, communication, and mutual respect Innovation, with a culture of continuous learning, experimentation, and improvement Diversity and inclusion, with a commitment to creating a workplace that values and celebrates individual differences Compensation, Perks, and Benefits We offer a competitive salary range of $55.00 to $85.00 hourly, plus bonus, equity (if applicable), and benefits. Our benefits package includes: Comprehensive health insurance, with medical, dental, and vision coverage Retirement savings plan, with a company match and investment options Paid time off, with vacation, sick leave, and holidays Employee assistance program, with access to counseling, financial planning, and other resources Professional development opportunities, with training, certification, and education assistance Conclusion If you are a motivated and experienced data science professional looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Director of Data Science and Analytics at American Express, you will have the chance to work with a talented team, drive business outcomes, and grow your career in a dynamic and supportive environment. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now and become a part of our innovative and inclusive community! Apply To This Job Apply for this job