Senior Analyst-Data Science

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 year ago
2-4 years
Gurugram, Haryana, India
Work from Office

Posted: 1 year ago
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Applicants: 149+
Job Description
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Job Description

You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and lets lead the way together.
The CFR team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers confidence in the security of our products. It utilizes an array of tools and ever-evolving technology to detect, prevent and combat credit and fraud losses, minimize the disruption of good spending and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve service and risk management as well as enable commerce and drive innovation. CFR is responsible for developing and monitoring statistical models for predicting individual and commercial behaviors such as credit risk, fraud risk, spending and revolve. These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth. Underpinning our growth as a company are the tools and capabilities that ensure we prudently take and manage risk in a viable way.
How will you make an impact in this role?
  • Responsible for developing machine learning models for managing credit and fraud risk for India market
  • Evaluate and implement complex and relevant variables using multiple and external data sources and apply adjustments to the models, if needed
  • Work on model tracking, performance and process monitoring and appropriately actioning on them
  • Work with governance teams as required to get the models approved and implemented
  • Work with vendor teams to deploy the models in production environment
Minimum Qualifications:
  • Past Experience: 2+ years relevant experience in Analytical Skills. Modelling experience is preferred, not mandatory
  • Academic Background: Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management
Functional / Technical Skills:
  • Hands-on model development or validation experience
  • Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred
  • Effectively communicating complex results to Business Partners and Leaders.
  • Flexibility and Adaptability to Work Within tight deadlines and changing priorities
Technical Skills:
  • Experience with at least one of the data manipulation tools such as Python, SQL/Hive, PySpark is a must have.
  • Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - Decision trees, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting is preferred

    Looking to get Placed? Try our Placement Guarantee Plan


We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
  • 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.

Skills

Artificial IntelligencePythonData ManipulationMachine LearningData ScienceSenior AnalystAnalyst

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About Company

American Express — often called Amex — is a global leader in payments, premium credit cards, corporate expense management, and travel‑related financial services. Founded in 1850 in Buffalo, New York, the company is renowned for its customer service, premium rewards programs, and strong merchant network.

In India, American Express (India) Private Limited was incorporated in 1994, with major offices in Gurugram and New Delhi, and large Global Service Centres supporting worldwide operations in technology, analytics, risk management, and customer servicing. The company operates both as a card issuer and a merchant acquirer, and through American Express Banking Corp., it offers corporate cards, merchant services, and working capital solutions.

American Express is known for its premium positioning, serving affluent consumers, corporates, and SMEs. Its India operations combine customer‑facing businesses with global capability centres, making it a hub for innovation in payments, fraud prevention, and digital experiences.

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Important dates & deadlines?

Application Deadline

11 Oct 24, 01:49 PM IST

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