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Senior Analyst - Data Science
full-timeNew York$89k - $150k

Summary

Location

New York

Salary

$89k - $150k

Type

full-time

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About this role

At American Express, our culture is built on a 175-year history of innovation, shared 

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?

This role will develop credit loss models for estimating credit reserves for global portfolios, which feeds into AXP credit provision calculation and reporting. The role will play an important role in improving model accuracy, strengthening model governance, and quantifying reserves for emerging credit risks.  The role also partners closely with Risk Finance, Controllership, RPDS, Technology and MRMG teams, on all aspects of credit reserve modeling and analytics. 

Key Responsibilities:

This person is expected to work on CFR Global Decision Science 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.

  • Perform quantitative analysis to evaluate multiple alternatives to generate insights and derive recommendations.

  • Ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels.

Experience and Background:

  • 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 or SQL plus experience in data-driven decision making is strongly preferred.

  • Previous model development experience is desirable.

  • Ability to apply advanced statistical and/or other quantitative techniques to solve business problems.

  • Excellent verbal, written, and interpersonal communication skills are a plus.

  • Ability to work with cross-function teams to solve complex business problems.

  • Advanced quantitative degree is preferred.



Salary Range: $89,250.00 to $150,250.00 annually + bonus + 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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*Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Other facts

Tech stack
Data Manipulation,Python,PySpark,SQL,Quantitative Analysis,Model Development,Statistical Techniques,Communication Skills,Cross-Functional Collaboration

About American Express

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.

These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more.

For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

Learn more about us at:
https://www.americanexpress.com/careers
https://www.americanexpress.com/
https://www.facebook.com/AmericanExpressUS
https://www.instagram.com/americanexpress/
https://twitter.com/americanexpress
https://www.youtube.com/user/AmericanExpress

See our community guidelines at:
https://www.americanexpress.com/en-us/company/community-guidelines/

If you have a customer service issue or question, please visit www.americanexpress.com/contactus

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Financial Services

What you'll do

  • The role involves developing credit loss models for estimating credit reserves and improving model accuracy. It also includes ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels.

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Frequently Asked Questions

What does American Express pay for a Senior Analyst - Data Science?

American Express offers a competitive compensation package for the Senior Analyst - Data Science role. The salary range is USD 89k - 150k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Analyst - Data Science do at American Express?

As a Senior Analyst - Data Science at American Express, you will: the role involves developing credit loss models for estimating credit reserves and improving model accuracy. It also includes ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels..

Why join American Express as a Senior Analyst - Data Science?

American Express is a leading Financial Services company. The Senior Analyst - Data Science role offers competitive compensation.

Is the Senior Analyst - Data Science position at American Express remote?

The Senior Analyst - Data Science position at American Express is based in New York, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Analyst - Data Science position at American Express?

You can apply for the Senior Analyst - Data Science position at American Express directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about American Express on their website.