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Directors, Data Science - job 16 of 16

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

Position requires a Master’s degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering (any), or a related field, and 2 years of experience with 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;  2 years of experience with linear regression models, logistic regression models, and advanced machine learning models, including kNN, and GBM techniques; and 2 years of experience with Base SAS, SAS Enterprise Guide, SPSS, SQL, and Teradata. Telecommuting available up to 2 days per week.

Job Location: New York, NY   

Salary Range: $150,000.00 - $225,000.00 annually

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 
  • 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.

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: https://www.eeoc.gov/poster

The above 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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Average salary estimate

$187500 / YEARLY (est.)
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$150000K
$225000K

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What You Should Know About Directors, Data Science, American Express

Are you ready to take your career to the next level? American Express Travel Related Services Company, Inc. is on the lookout for a passionate Director of Data Science to join our dynamic team in New York, New York. In this pivotal role, you'll be at the heart of strategic analysis of credit metrics and provision, driving analytics that shape our business and risk decisions. You'll lead a talented team in providing insightful credit-related analytical support, all while developing and presenting key analyses to upper management. Your ability to identify trends and optimize decision-making will be crucial as you own specific data assets and applications. You'll utilize your expertise with data science tools to troubleshoot issues and enhance automation opportunities, ensuring that your team adopts the best practices in the industry. As a qualified candidate, you'll have a Master’s degree in a relevant field and substantial experience in risk management and analysis. With telecommuting options available for up to two days per week and an attractive salary range of $150,000.00 - $225,000.00 annually, this position not only offers a fantastic career path but also a commitment to your holistic well-being. Join us and become part of something special!

Frequently Asked Questions (FAQs) for Directors, Data Science Role at American Express
What are the essential responsibilities of the Director of Data Science at American Express?

As a Director of Data Science at American Express, your key responsibilities will include driving the strategic analysis of credit metrics and providing critical analytical support related to credit provision. You’ll lead your team in developing analyses that uncover trends and opportunities within the credit portfolio, ultimately helping to enhance business and risk decisions.

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What qualifications are necessary to become a Director of Data Science at American Express?

To qualify for the Director of Data Science position at American Express, you need a Master’s degree in Finance, Statistics, Quantitative Economics, or a related field. Additionally, you should possess at least two years of hands-on experience in risk management, data analysis, and credit risk data analysis, coupled with proficiency in various data science tools and programming languages.

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What data science tools are preferred for the Director of Data Science role at American Express?

Candidates for the Director of Data Science position at American Express should be familiar with Big Data technologies like Pig and Hive, as well as programming languages such as R, SAS, SQL, and Teradata. Experience with advanced machine learning models, regression techniques, and credit risk data from bureaus will be highly advantageous.

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Is remote work an option for the Director of Data Science role at American Express?

Yes, American Express offers flexibility with telecommuting options for the Director of Data Science position, allowing you to work from home up to two days per week. This is part of our commitment to providing a supportive work environment that balances your personal and professional life.

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What benefits does American Express offer to its Directors of Data Science?

American Express provides a comprehensive benefits package for Directors of Data Science, including competitive salaries, bonus incentives, retirement savings with a 6% company match, extensive health insurance options, paid parental leave, and access to wellness programs, ensuring your overall well-being is prioritized.

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Common Interview Questions for Directors, Data Science
Can you describe your experience with credit risk analysis?

In answering this question, emphasize specific projects where you managed credit risk data, the methodologies you applied, and how your analyses brought value to your previous employers, particularly in decision-making contexts.

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What methods do you use to identify trends in credit data?

Share your expertise in utilizing various data science tools and analytical models to extract insights from credit data. Discuss any specific techniques, such as linear regression models or advanced machine learning, and the results you achieved.

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How do you approach team leadership in analytical projects?

Discuss your experience in managing teams, focusing on how you encourage collaboration, provide guidance, and foster an environment where innovative data science techniques can flourish to enhance results.

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What is your experience with Big Data technologies?

Highlight any specific Big Data technologies you have worked with, such as Pig or Hive. Explain projects where you applied these technologies and the impact they had on your work in credit analysis.

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How have you contributed to risk management enhancements in your previous roles?

Provide examples of how you've successfully implemented new analytical frameworks or improved existing ones in your past workplaces, which contributed significantly to better risk management outcomes.

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Talk about a challenging analytical problem you've solved.

Choose a specific challenge related to credit or risk analysis, describing the process you went through to solve it, the tools you used, and how your solution positively impacted your organization.

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How do you keep up with the latest trends in data science and analytics?

Discuss your strategies for continuous learning, such as following industry publications, attending conferences, or participating in data science communities. Emphasize how this knowledge informs your work.

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Describe your experience working with regulatory audit strategies.

Detail your experience navigating regulatory requirements in data analytics, specifying any audit-related projects you worked on, and how you ensured compliance within your analyses.

Join Rise to see the full answer
What is your strategy for presenting complex data analyses to management?

Discuss your approach to breaking down complex information into digestible insights, including visual tools you might use and how you tailor your presentations for different audiences.

Join Rise to see the full answer
What are your thoughts on the future of credit analytics?

Offer insights into emerging trends, technologies, or methodologies you foresee impacting credit analytics, and how you believe organizations should adapt to stay ahead in the field.

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American Express is a multinational financial services corporation and global leader in providing personal, small business, and corporate credit cards.

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Badge Family FriendlyBadge Office VibesBadge Work&Life BalanceBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Mental Health Resources
Life insurance
Disability Insurance
Child Care stipend
Employee Resource Groups
Learning & Development
FUNDING
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TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 16, 2025

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