American Express Hiring for Analyst Data Science – Freshers

You Set the Direction. We’re Here to Support You.

With the right support, both individuals and businesses can achieve extraordinary progress. When you join Team Amex, you become part of a global, diverse community committed to supporting our customers, communities, and one another. Here, you’ll grow and learn as we help you build a career path that is both unique and meaningful, with benefits, programs, and flexibility that cater to your personal and professional needs.

At American Express, your contributions, leadership, and impact will be recognized—every colleague has the chance to share in the company’s success. Together, we’ll achieve our goals as a team, working to uphold our values and deliver the best customer experience every day. We’ll do this with integrity, in an environment where everyone feels seen, heard, and valued.

Join Team Amex and let’s lead the way together.

Job Description:

The Model Risk Management Group (MRMG) within the Global Risk and Compliance Group is responsible for managing and mitigating risk associated with all American Express (AXP) models.

Purpose of the Role:

The successful candidate will manage and control model risk, especially related to next-generation Artificial Intelligence (AI) and Machine Learning (ML) models. This role aims to elevate model excellence, enhance shareholder value, and adapt to the evolving landscape of model innovation, regulatory expectations, and external factors.

Key Responsibilities Include:

• Oversee enterprise-wide models, focusing on AI and ML models for marketing, credit, fraud, or other business risks.
• Conduct gap assessments and establish a robust framework to strengthen model risk controls and meet regulatory standards.
• Research opportunities to enhance model excellence and drive business impact.
• Communicate results to partners, senior leadership, and model committees.

Qualifications:

Critical Success Factors:

1. Business Outcomes:
   • Critically assess the soundness, theory, and purpose of predictive models.
   • Maximize business returns by institutionalizing efficient and accurate models.
   • Innovate modeling techniques and variables.
   • Ensure accuracy and enhance efficiency in existing processes using ML.
2. Leadership Outcomes:
   • Prioritize enterprise thinking, aligning the role’s agenda with enterprise priorities.
   • Lead with an external perspective, challenge the status quo, and innovate existing offerings.
   • Demonstrate learning agility and make decisions with integrity.
   • Lead with a digital mindset, delivering world-class customer experiences daily.

Experience:

0-4 years in analytics or big data workstreams.

Educational Background:

MBA, Master’s Degree in Economics, Statistics, or related fields from a top-tier institution.

Skills and Capabilities:

• Hands-on experience in model development or validation.
• Strong analytical, relationship, and project management skills.
• Experience with advanced statistical and/or quantitative techniques to solve business problems.
• Excellent verbal, written, and interpersonal skills.
• Willingness to collaborate with cross-functional teams.
• Ability to 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 such as R, JAVA, SQL, or SAS.
• Expertise in Data Science, ML, AI, Coding, and techniques like active learning, transfer learning, neural models, decision trees, reinforcement learning, and more.

Behavioral Skills:

Enterprise Leadership Behaviors:

• Set the Agenda: Define success, prioritize enterprise thinking, and lead with an external perspective.
• Bring Others With You: Build a strong team, seek and provide feedback, and make collaboration essential.
• Do It the Right Way: Communicate frequently and clearly, make decisions effectively, and uphold our values with courage.

We support our colleagues and their loved ones with benefits and programs that promote their overall well-being, including:

• Competitive base salaries
• Bonus incentives
• Support for financial well-being and retirement
• Comprehensive health benefits (varies by location)
• Flexible working arrangements (hybrid, onsite, or virtual)
• Generous parental leave policies (varies by location)
• Free access to on-site wellness centers (varies by location)
• Confidential counseling support through our Healthy Minds program
• Career development and training opportunities

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.

Employment at American Express is contingent upon successful background verification, in accordance with applicable laws and regulations.

Job Location:- Bengaluru, India

Salary Package:- As per Company Standards

Apply Link:- Click Here To Apply (Apply before the link expires)