Manager-Data Science

Actively Reviewing the Applications

American Express

India, Karnataka Full-Time On-site

Posted 4 hours ago • Apply by June 9, 2026

Job 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. 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?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.

The incumbent would be part of the International CCAR Decision Science team reporting into Director - Financial Risk Decision Science and will lead a team of 3 risk management professionals. The incumbent is expected to provide thought leadership to manage CCAR Regulatory Risk Models for International portfolios.

Develop, implement, and monitor statistical models used to forecast credit loss under various macro-economic scenarios for CCAR regulatory use-case.
Design and develop benchmark Machine Learning models that help make better business decisions under different economic environment and create efficiencies in the existing processes.

Providing modeling support and expertise on credit loss forecasting to various cross-functional teams, including Finance, Corporate Planning, Treasury, Model Validation, Audit and Customer Management.
Leveraging Stress Testing expertise to drive more informed business decisions, which includes providing LGS (Loss Given Stress), Recession readiness support for various business initiatives Explore data science opportunities within the regulatory space to improve our risk discrimination and / or improve our economics over and above existing framework
Explore data science opportunities within the regulatory space to improve our risk discrimination and / or improve our economics over and above existing framework

Minimum Qualifications

Bachelor’s/Master's Degree in Statistics, Mathematics, Engineering, Economics, Business Administration or related fields from Premier Institutes only.
3-5 years of past experience in an Analytical/Modeling role. Experience in dealing with regulatory models is an added advantage.

Preferred Qualifications

Bachelor’s/Master's Degree in Statistics, Mathematics, Engineering, Economics, Business Administration or related fields from Premier Institutes only
3-5 years of past experience in an Analytical/Modeling role. Experience in dealing with regulatory models is an added advantage.
Well versed in Python, PySpark, and handling big data Should possess strong analytical and problem-solving skills and a tremendous will to win.
Strong people relationship building, management and influencing skills Exceptional verbal, written, and interpersonal communication skills

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
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
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

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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.