Senior Manager - Data Science

Senior Manager - Data Science
Company:

Aexp


Place:

New York


Job Function:

Science

Details of the offer

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 company values 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 #TeamAmex and let's lead the way together.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you're 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 can 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 on #TeamAmex.American Express Company seeks Managers, Data Science. This person is expected to work on Credit Risk Modeling and is responsible for:Development of modeling framework to meet the credit reserve standards set by the Financial Accounting and Standards Boards (FASB) and the International Accounting Standards Boards (IASB).Development and enhancement of loss forecasting models for credit and charge card portfolios.Partner across finance, risk, and technology teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals.Ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels.Minimum QualificationsPosition requires a Master's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field, and 2 years of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Previous model development experience is desirable.The successful candidate should possess strong analytical and problem-solving skills and a tremendous will to win.Fluency with data manipulation tools like Python, PySpark, SAS or SQLAbility to apply advanced statistical and/or other quantitative techniques to solve business problems.Excellent verbal, written, and interpersonal communication skills are a plus.Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe 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 our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: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 opportunitiesFor a full list of Team Amex benefits, visit ourColleague 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.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/Employees -Click here to view the "Know Your Rights" poster and the Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.


Source: Eightfold_Ai

Job Function:

Requirements

Senior Manager - Data Science
Company:

Aexp


Place:

New York


Job Function:

Science

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