Internship Behavioral Data Science Jobs in Summit, NJ

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision.

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 our 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.

Position requires a Bachelor's degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering, or a related field, followed by 5 years of progressively responsible risk management and risk analysis experience. Experience must include 2 years of experience with each of the following: credit risk data from credit bureaus and internal credit source, source systems, and data management processes; providing strategic guidance on risk information system implementation and enhancements, new data evaluation, and regulatory audit strategies; working with professional teams in multiple geographies; data analysis and transforming credit and risk capabilities using Big Data technologies, including Pig, Hive, and R; linear regression models, logistic regression models, and advanced machine learning models, including kNN, and GBM techniques; and Base SAS, SAS Enterprise Guide, SPSS, SQL, and Teradata. Telecommuting is available up to 2 days per week.

Job Location: New York, NY

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
    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.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider a number of job-related factors, including experience and location.
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Lead the provision of credit-related analytical support, and develop and present key analyses and recommendations to management. Serve as the decisionmaker for developing analytics that identify trends and opportunities in the portfolio in order to optimize business and risk decisions. Own specific data assets and applications, ensuring the team's use of data science tools, when troubleshooting issues, reconciling results, identifying improvements and automation opportunities, and training other users to drive adoption.