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. As part of Team Amex, you'll experience this 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.
How will you make an impact in this role?
Finance Data Science & Analytics (FDS&A) partners across the enterprise to drive analyses and forecasts for the key metrics and investment decisions across the enterprise. The team leverages the latest modelling and analytics techniques to provide insights on both current and future performance.
This team is focused on advanced analytics (i.e. Machine Learning, Financial Modelling) to help predict, explain, and draw learnings from the AXP P&L trends.
The Financial modeling director will play a major role in developing new models from scratch for the metrics that are important to the AXP P&L. Additionally, the director will research new technologies, tools, and algorithms to find out potential improvement opportunities within the Finance, and will work on prototypes, proof of concepts, and review of current processes, tools and models.
Responsibilities:
Lead and mentor team members to develop predictive models from scratch as well as enhance existing models
Research and experiment challenger models for prediction and inference
Play an advisory role to enterprise-wide partners with a focus on financial model innovation
Provide training and consultation to uplift the analytics and modelling rigour of the organisation
Strengthen risk control and lead documentation and validation to ensure model compliance
Design, build, and execute projects on advanced technologies and capabilities (e.g., ML, Power BI) to deliver value to the Finance colleagues and business partners
Minimum Qualifications:
Advanced knowledge and experience of SQL, R, Python, PySpark, and/or other ML techniques
5 years of professional experience in data science, and working experience in statistical / ML models
Proven track of driving business outcomes via predictive analyses, forecasting, and advanced analytics
Ability to explain complex mathematical concepts to an audience of various backgrounds
BS/MS in a quantitative field - Statistics, Biostatistics, Applied Mathematics, Economics, Physics, Computer Science, etc.
Preferred Qualifications:
Experience in leading decision science teams, and knowledge of card economics preferred
Strong analytical, organizational, and problem-solving skills with good attention to detail
PhD in a quantitative field - Statistics, Biostatistics, Applied Mathematics, Economics, Physics, Computer Science, etc.
Salary Range: $150,000.00 to $225,000.00 annually + bonus + equity (if applicable) + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
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
6%25 Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.