Senior Analyst-Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

The successful candidate will be responsible for developing, maintaining, and innovating algorithms that drive business impact. The role sits within commercial Decision Science team and requires strong analytical capabilities, learning agility, and a passion for exploring new ideas, techniques, and research to continuously improve existing solutions and build new ones.

Responsibilities:

• Develop, enhance, maintain ML algorithms and modeling solutions to support several data science and modelling use cases across credit, fraud, and risk.
• Research, Innovate and propose next-generation ML algorithms and algorithmic approaches by exploring emerging techniques, research papers, and industry best practices.
• Maintain a disciplined review process to identify opportunities for new algorithms, features, and process improvements.
• Partner closely with cross-functional teams to ensure effective adoption, usage, and enablement of algorithms.
• Monitor algorithm performance and ensure robustness, stability, and compliance with governance standards.
• Support documentation, validation, and audit requirements for algorithms across their lifecycle..

Qualification:

• Bachelor's or Master’s degree in computer science, statistics, data science, artificial intelligence, applied mathematics, or a related field.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL) and cloud computing environment.
• Hands-on experience in machine learning algorithm development or application.
• Prior professional experience or internships in data science are preferred.
• Ability to drive project deliverables to achieve business results.
• Ability to work effectively in a team environment.
• Strong communication and interpersonal skills
• Ability to learn quickly and work independently on sophisticated, unstructured initiatives, with strong attention to detail.
• Ability to collaborate with cross-functional business partners worldwide.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• 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

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.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.