About Company
American Express is a globally recognized financial services company with a legacy of over 175 years, known for innovation, trust, and customer-centric services. The company provides a wide range of financial products including credit cards, payment solutions, and travel services. With a strong focus on technology and data-driven decision-making, American Express empowers employees to grow, innovate, and make a meaningful impact. The organization fosters a collaborative environment, encourages leadership development, and offers excellent career growth opportunities.
Job Details
| Field | Details |
|---|---|
| Job ID | 26004978 |
| Role | Analyst – Data Science |
| Company | American Express |
| Location | Gurugram, Haryana, India |
| Work Mode | Hybrid |
| Experience | 0–4 Years |
| Employment Type | Full-Time |
| Qualification | MBA / Master’s Degree (Economics, Statistics or related) |
| Industry | Financial Services / Data Science |
| Salary | As per Company Standards |
| Apply Now | https://talentoop.com |
Key Responsibilities
• Conduct independent validation and oversight of AI/ML-based models across business domains
• Perform gap assessments and enhance model risk frameworks as per regulatory standards
• Analyze predictive models used in credit, fraud, and marketing risk areas
• Communicate analytical findings to senior leadership and stakeholders
• Research and implement advanced modeling techniques to improve business outcomes
Required Skills
• Strong knowledge of Data Science, Machine Learning, and AI concepts
• Experience with tools like R, SQL, SAS, or Java
• Hands-on experience in model development or validation
• Strong analytical and problem-solving skills
• Strong communication and teamwork skills
Preferred Skills
• Experience with advanced ML techniques (Random Forest, Gradient Boosting, Deep Learning)
• Knowledge of financial risk models and regulatory frameworks
• Familiarity with big data technologies and model optimization
• Internship or project experience in analytics or data science
Perks & Benefits
• Competitive salary and performance-based incentives
• Learning & development programs
• Flexible work environment (Hybrid model)
• Employee engagement and recognition programs
• Career growth and mentorship opportunities
Why Join Us
• Work with cutting-edge AI/ML technologies in a global organization
• Collaborative culture that encourages learning and innovation
• Structured training and leadership development programs
• Exposure to high-impact financial and risk analytics projects
• Build a rewarding career with a prestigious organization
Eligibility Criteria
• Education: MBA / Master’s in Statistics, Economics, or related fields
• Batch: 2021–2025 (approx.)
• Minimum Academic Percentage: As per company guidelines
• No active backlogs
• Strong analytical, technical, and logical reasoning skills
Selection Process
- Online Aptitude / Technical Assessment
- Technical Interview(s)
- HR Interview
- Final Offer & Onboarding
Important Dates
• Registration Start: Already Started
• Registration End: Open / Until Filled
• Assessment & Interview Dates: To be announced by the company
Ready to Apply?
ATS Keywords
Data Science Jobs, Machine Learning Engineer, AI Jobs India, American Express Careers, Risk Analytics, SQL Jobs, R Programming, Financial Analytics, Model Validation, Data Analyst Jobs
FAQs
Q1. Who can apply for this role?
A1. Candidates with MBA or Master’s in Statistics, Economics, or related fields with 0–4 years of experience can apply.
Q2. Is prior experience mandatory?
A2. Freshers and candidates with up to 4 years of experience in analytics or data science are eligible.
Q3. What is the work mode?
A3. This is a hybrid role based in Gurugram.
