American Express

Senior Analyst-Data Science

American Express · Gurgaon, Haryana, India

Financial Services · 10,001+ employees

13 h ago Closes in 6d
Mid (2-5 yrs) Full-time India
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About the role

The Senior Analyst will develop, deploy, and validate predictive models to minimize credit and fraud losses while driving business growth. They will frame complex business problems into mathematical solutions and collaborate with cross-functional teams to enable profitable decision-making.

What they look for

Data Science Predictive Modeling Machine Learning Python R SQL Hive Statistical Algorithms Deep Learning Data Visualization Mathematical Programming Business Strategy Risk Management Communication Excel PowerPoint

Requirements

Candidates must hold a Master's or PhD in a quantitative field or an MBA with hands-on experience in machine learning and analytical techniques. A minimum of 2 years of modeling experience and proficiency in Python, R, and SQL are required.

Benefits

Competitive base salaries Bonus incentives Financial well-being and retirement support Medical insurance Dental insurance Vision insurance Life insurance Disability benefits Flexible working model Paid parental leave On-site wellness centers Counseling support Career development and training

Full description

Credit and Fraud Risk Organization (CFR) within American Express has the mission of minimizing credit and fraud losses while promoting business growth and delivering superior customer service. In India, the CFR CoE (Center of Excellence) team is involved in developing predictive models, business strategies, capabilities, and platforms for driving the above outcomes across all portfolios for American Express globally. Our Decision Science teams use industry leading modelling and AI practices to predict customer behavior. We develop, deploy, and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

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 our 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.

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.