American Express Is Hiring For Data Analyst Job. Here, you are given complete information about the Data Analyst Job. You must read the full article for related information.

Data Analyst Job Overview

Company Name American Express
Post Name Analyst – Data Science
Job Type Full-time
Location Gurgaon, Haryana, India ( Hybrid )
Experience Freshers
Job CategoryPrivate Jobs
QualificationMBA, Master’s Degree In Machine Learning, Computer Science, Statistics
Salary Best in Industry
Official Website americanexpress.com
Data Analyst Job

About American Express

Data Analyst Job

American Express Company is an American multinational financial services corporation that specializes in payment cards. Headquartered in New York City, it is one of the most valuable companies in the world and one of the 30 components of the Dow Jones Industrial Average. Provide the world’s best customer experience every day. Become essential to our customers by providing differentiated products and services to help them achieve their aspirations.

We’re driven by our commitment to deliver exceptional products, services and experiences to our customers. We value our strong customer relationships, and are defined by how well we take care of them. We deliver an unparalleled standard of excellence in everything we do, staying focused on the biggest opportunities to be meaningful to our customers.

From our innovative products to our world-class customer service, our customers expect the best —and our teams are proud to deliver it. Customers choose us because they trust our brand and people. We earn that trust by ensuring everything we do is reliable, consistent, and with the highest level of integrity.

We are a diverse and inclusive company, and serve diverse customers. We believe we are a better company when each of us feels included, valued, and able to trust colleagues who respect each of us for who we are and what we contribute to our collective success. By being open to different ideas from our colleagues, customers and the world around us, we will find more ways to win.

We view each other as colleagues – part of the same team, striving to deliver the brand promise to our customers and each other every day. Individual performance is essential and valued; but never at the expense of the team. We aim to make a difference in the communities where we work and live. Our commitment to corporate social responsibility makes an impact by strengthening our connections.

Job Description – Data Analyst Job

Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. 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.

Data Analyst Job
  • 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.

Responsibility – Data Analyst Job

  • 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.
  • 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.

Requirements – Data Analyst Job

  • 0-3 years experience in Large Language Models or big data workstreams.
  • MBA, Master’s Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute.
  • 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.
  • 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.

Technical Skills : 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.

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Data Analyst Job