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About American Express

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

American Express Recruitment 

Company Website: www.americanexpress.com

Job Role:  Analyst – Data Science

Qualification: BE/ B Tech/ MBA/ M.Tech/ MS

Experience: Fresher (0-3 years)

Batch: 2023/22/21/20/19/18/17

Salary: ₹13 LPA * (Expected)

Job Location:  Gurgaon, Haryana, India

Job Description

American Express Off Campus Drive For Fresher 2023 – American Express hiring fresher graduates for Analyst – Data Science – Team Member BE/ B Tech/ MBA/ M.Tech/ MS candidates can apply for this job. Detailed information about the application process is given below please scroll down the post.

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Eligibility

• 2023/22/21/20/19/18
• Freshers are eligible

• 0-3 years experience in Large Language Models  or big data workstreams

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Job Role and Responsibilities

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.

The specific responsibilities include:  

• Conduct independent oversight of enterprise-wide models with a focus on Gen AI (Large Language Models) and Machine Learning based models for 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

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Critical Factors to Success

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 Learning

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 the 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

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 our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• 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

Click here for Frontend Development Roadmap

Click here for Backend Development Roadmap

Click here for Full Stack Development Roadmap

Selection Process 

How to Apply for American Express

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
2. Click on “Apply”.
3. If you have not registered before, create an account.
4. After registration, login and fill in the application form with all the necessary details.
5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
6. Verify that all the details entered are correct.
7. Submit the application form after verification.

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