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Analyst-Data Science
American Express
Updated on: 08 September 2025
Additional Details
Website
Work Location
Gurgaon, India
Job Type
FTE
Batch
2025 | 2024 | 2023 | 2022
Stream Required
MBA, Master’s Degree In Machine Learning, Computer Science, Statistics
Salary
20 - 30 LPA (Expected)
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?
Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
Purpose of the Role:
The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Gen AI (Large Language Models). This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
Responsibilities include:
· Conduct independent oversight of enterprise-wide models with a focus on Machine Learning based models for NLP/NLU, marketing, credit, fraud or other business/ risk types.
· Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
· Conduct AI/MLresearch to explore opportunities to elevate model excellence and drive business impact
· Communicating results to partners, senior leadership and various model committees
Critical Factors to Success:1.Business Outcomes:
• Effectively challenge the conceptual soundness , theory and approach,purpose/usages of predictive models
• Maximize business returns by institutionalizing efficient and accurate models.
• Innovate modeling techniques and variable creation
• Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning2. Leadership Outcomes:
• Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
• Demonstrate learning agility, make decisions quickly and with the highest level of integrity
• Lead with a digital mindset and deliver the world’s best customer experiences every day
Past Experience:
0-3 years experience in analytics, modeling, data science, model risk management or relevant fields.
Background:
MBA, Master’s Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute
Functional Skills/Capabilities:
· Hands-on model development or validation experience.
· Strong Analytical and Relationship and project management skills for driving validation initiatives.
· Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
· Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. • Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
· Effectively communicating complex Analytical results to Business Partners and Senior Management.
· Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
Technical Skills/Capabilities:
Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have. Gen AI/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms.
Behavioral Skills/Capabilities:
Enterprise Leadership Behaviors
• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
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:
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.
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What is the role of Analyst-Data Science at American Express?
The Analyst-Data Science role at American Express involves working on key responsibilities mentioned in the job description and contributing to company growth.
Where is this job located?
This job is located in Gurgaon, India.
What is the salary for this position?
The salary for this role is 20 - 30 LPA (Expected).
Who all are eligible for this role
candidates with degree MBA, Master’s Degree In Machine Learning, Computer Science, Statistics and graduating year will be 2025 | 2024 | 2023 | 2022.
How can I apply for this job?
You can apply directly using the official application link provided above on this page.
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