Data Science Analyst at American Express, Gurugram | Apply Now

Job Description

As part of Team Amex, you'll receive comprehensive support for your well-being and numerous opportunities to learn new skills, develop as a leader, and grow your career. Your voice and ideas matter, your work makes an impact, and together, you will help define the future of American Express.

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

Responsibilities

In this role, you will manage and control model risk, particularly for next-generation AI/ML-based models. You will elevate model excellence, strengthen long-term shareholder value, and adapt to the evolving landscape of model development, external environment, and regulatory expectations.

Specific responsibilities include:

• Conduct independent oversight of enterprise-wide models, focusing on AI/ML models for marketing, credit, fraud, and other business/risk types.
• Perform gap assessments and establish a robust framework to strengthen model risk controls and meet regulatory standards.
• Conduct research to explore opportunities for model excellence and business impact.
• Communicate results to partners, senior leadership, and model committees.

Critical Factors to Success

Business Outcomes:

• Effectively challenge the conceptual soundness, theory, approach, and purpose of predictive models.
• Maximize business returns by institutionalizing efficient and accurate models.
• Innovate modeling techniques and variable creation.
• Enhance modeling accuracy and efficiency 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, and shareholders.
• Lead with an external perspective, challenge the status quo, and bring continuous innovation.
• Demonstrate learning agility, make decisions quickly and with integrity.
• Lead with a digital mindset and deliver the world's best customer experiences.

Qualifications

Academic Background: MBA, Master's Degree in Economics, Statistics, or related fields from a top-tier institute.

Functional Skills:

• Hands-on model development or validation experience.
• Strong analytical, relationship, and project management skills for driving validation initiatives.
• Experience applying advanced statistical or quantitative techniques to solve business problems is preferred.
• Good verbal, written, and interpersonal skills; ability to work effectively in a team.
• Willingness to collaborate with cross-functional teams.
• Effectively communicate complex analytical results to business partners and senior management.
• Flexibility and adaptability to work within tight deadlines and changing priorities.

Technical Skills: Experience with at least one data manipulation tool (Python, R, Java, SQL, SAS) is mandatory. Expertise in Data Science, Machine Learning, AI, coding, supervised and unsupervised techniques (active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map-reduce, Random Forest, Gradient Boosting, Deep Learning, Text Mining).

Behavioral Skills: Enterprise Leadership Behaviors: Set the Agenda, Bring Others With You, Do It The Right Way.