American Express is hiring an Analyst – Data Science for its Model Risk Management Group in Gurugram. Candidates with a Bachelor’s or Master’s degree in a quantitative discipline such as Statistics, Mathematics, Economics, Finance, Engineering, Computer Science or Operations Research can apply. The role supports independent validation of credit risk models and non-model tools through statistical analysis, benchmarking, documentation reviews and governance checks. It is worth considering for candidates who want hands-on exposure to regulatory capital planning, financial forecasting and enterprise risk management within a global financial services organisation.
Company Overview
American Express is a global financial services company known for its payment products, customer services and risk management operations. The company has a 175-year history and offers exposure to regulated financial services, enterprise risk management and large-scale business processes, making it a relevant name for an analytics professional’s CV.
| Company Name | American Express |
| Job Role | Analyst – Data Science |
| Qualification | Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Operations Research or a related quantitative discipline |
| Job Location | Gurgaon |
| Employment Type | Full Time |
| Work Arrangement | Hybrid |
Role Overview
The Analyst will work within the Global Risk & Compliance Organisation and support the independent review of models used for credit risk and related decision-making. The role involves working with model developers, business partners and senior risk leaders to assess whether analytical models are sound, reliable and aligned with internal and regulatory expectations.
- Assess the suitability and ongoing performance of credit risk models and non-model tools.
- Use quantitative analysis to challenge model assumptions, methods and results independently.
- Help strengthen model governance practices across validation, documentation and remediation.
- Communicate analytical conclusions to technical teams, business stakeholders and senior leadership.
Eligibility & Qualifications
- A Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Operations Research or a related quantitative discipline.
- Candidates should be flexible to work in the 1:00 pm to 9:30 pm shift.
Key Responsibilities
- Support independent validation of CFR models, including CCAR PD, EAD and LGD models, as well as non-model tools.
- Review model methodology, assumptions, data, implementation and performance to assess conceptual soundness and suitability.
- Perform analytical testing, benchmarking, sensitivity analysis and replication exercises.
- Identify gaps in model documentation and governance against internal standards and regulatory expectations.
- Track validation findings and review remediation evidence for timely and sustainable closure.
- Prepare clear and concise validation reports for model developers, stakeholders and senior leaders.
- Work with cross-functional teams on regulatory examinations, internal audits, annual reviews, model changes and governance initiatives.
- Contribute to research and improvements in validation methods, analytical techniques and governance processes.
Skills Required
- Strong analytical and problem-solving ability.
- Experience with Python, SQL, SAS, R or similar analytical tools.
- Understanding of statistical modelling, forecasting techniques, regression analysis or machine learning fundamentals.
- Ability to interpret quantitative results and communicate insights effectively.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities while delivering high-quality work in a collaborative environment.
- Experience with large datasets and statistical techniques is preferred.
- Knowledge of model governance, validation methodologies or regulatory guidance such as SR 11-7 is preferred.
Why Join American Express
The role offers exposure to credit risk modelling, CCAR, regulatory reviews, financial forecasting and enterprise risk management, along with interaction across business and risk functions. American Express also highlights learning opportunities, leadership development, career training and a hybrid working model, supported by benefits for physical, financial and mental well-being.
How to Apply for American Express Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
