\\\\Description\\\\ 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 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. Credit & Fraud Risks Global Decision Science Team is looking for a Vice President, Data Science US Consumer Underwriting Decision Science to lead and develop team of data science professionals to build, implement and improve predictive models that enable better new account, credit limit and personal loan decisions for US consumer portfolios at American Express. How will you make an impact in this role? \\+ Developing and leading machine learning models for new account, credit limit and personal loan decisions, and interacting with business partners to integrate models with business decisions \\+ Planning and delivering of high performing models and ensuring accurate, efficient implementation of models in production systems with, sometimes, challenging deadlines \\+ Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as the need arises \\+ Ensuring all deliveries conform to American Express's Model Risk Governance Framework and regulatory requirements and produce clear documentation \\+ Learning industry developments and guidelines, conducting research and development to incorporate outstanding modelling methodologies and share with the team Minimum Qualifications: \\+ Ten or more years of experience in credit, fraud or compliance risk management practices in a Financial Services company \\+ 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 with the ability to develop team members and build highly effective and culture \\+ Strong relationship management and proven track record of positively collaborating and partnering with key business partners \\\\Qualifications\\\\ Salary Range: $176,750.00 to $282,000.00 annually bonus equity (if applicable) benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, well 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% 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. US Job Seekers - Click to view the Know Your Rights poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: Depending on factors such as business unit requirements, the nature of the position, cost, and application laws, American Express may provide visa sponsorship for certain positions \\\\Job:\\\\ Executive \\\\Primary Location:\\\\ US-New York-New York \\\\Schedule\\\\ Full-time \\\\Req ID:\\\\ 26002806

The role requires ten or more years of experience in credit, fraud, or compliance risk management within a financial services company. Strong analytical skills are necessary for developing and implementing predictive machine learning models on large datasets in Hadoop environments. Proficiency with tools such as Hive, Python, and SQL is expected. The candidate must be a strong people leader, capable of developing team members and fostering a highly effective culture. Proven track record of positive collaboration and partnership with key business partners is also essential.