American Express is hiring freshers for the position of Analyst Data Science for 2024. Candidates with an MBA, Master’s Degree in Economics, Statistics, or related fields from top-tier institutes are eligible to apply. Here’s an overview of the opportunity:
About American Express
American Express is dedicated to backing people and businesses to progress in remarkable ways. Joining Team Amex means becoming part of a global community that values diversity and supports its members personally and professionally. At American Express, employees are recognized for their contributions, leadership, and impact, with opportunities for career growth and participation in the company’s success.
Role and Responsibilities
The Analyst Data Science position is part of the Model Risk Management Group (MRMG) within the Global Risk and Compliance Group. The primary responsibility is to manage and control model risk, particularly for AI and Machine Learning models used in marketing, credit, fraud, and other business areas. Key responsibilities include:
- Conducting independent oversight of enterprise-wide models focused on AI and Machine Learning.
- Performing gap assessments and establishing robust frameworks to strengthen model risk controls.
- Researching opportunities to elevate model excellence and drive business impact.
- Communicating results to partners, senior leadership, and model committees.
Success Factors
Business Outcomes:
- Challenging the conceptual soundness and usage of predictive models.
- Innovating modeling techniques and improving modeling efficiency using Machine Learning.
- Ensuring accuracy and efficiency in existing processes.
Leadership Outcomes:
- Prioritizing enterprise thinking and aligning role agendas with enterprise priorities.
- Bringing continuous innovation to existing offerings.
- Making decisions quickly with the highest integrity.
- Leading with a digital mindset to deliver top customer experiences.
Candidate Requirements
Experience:
- 0-4 years in analytics or big data workstreams.
Academic Background:
- MBA or 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 and project management skills.
- Experience in applying advanced statistical techniques to solve business problems.
- Excellent verbal and written communication skills.
- Ability to work effectively in a team and collaborate with cross-functional teams.
- Flexibility and adaptability to meet tight deadlines.
Technical Skills:
- Experience with data manipulation tools such as R, Java, SQL, and SAS.
- Expertise in Data Science, Machine Learning, and AI, including supervised and unsupervised techniques.
- Familiarity with coding, neural models, decision trees, reinforcement learning, and other advanced algorithms.
Benefits
American Express offers a comprehensive benefits package that supports the physical, financial, and mental well-being of employees, including:
- Competitive base salaries and bonus incentives.
- Financial well-being and retirement support.
- Comprehensive medical, dental, vision, life insurance, and disability benefits.
- Flexible working models (hybrid, onsite, virtual) based on role and business needs.
- Generous paid parental leave policies.
- Access to global on-site wellness centers.
- Free and confidential counseling support through the Healthy Minds program.
- Career development and training opportunities.
Equal Opportunity Employer
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.
Application Process
Employment is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Interested candidates should apply through the official American Express careers page.
Join American Express and lead the way in creating a meaningful career while contributing to the company’s mission to provide the best customer experience every day.