Analyst/Sr. Analyst-Data Science

American Express
Gurugram, Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2-4 yearsEducation: mastersSkills: ["Communication","Interpersonal skills","Teamwork","Problem-solving","Independence"]

Work in the Credit & Fraud Risk (CFR) Analytics & Data Science CoE to develop and execute analytical solutions that drive profitable credit business decisions. Leverage big data and machine learning techniques to detect and combat fraud, improve risk management, and enable commerce. Collaborate with cross-functional partners, analyze large datasets to generate business insights, and communicate structured findings to leadership while impacting decisions affecting millions of customers.

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FursaFursa
American Express
American Express
2 days ago

Analyst/Sr. Analyst-Data Science

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Last checked: 1 hour agoStatus: Live

Job Summary

Work in the Credit & Fraud Risk (CFR) Analytics & Data Science CoE to develop and execute analytical solutions that drive profitable credit business decisions. Leverage big data and machine learning techniques to detect and combat fraud, improve risk management, and enable commerce. Collaborate with cross-functional partners, analyze large datasets to generate business insights, and communicate structured findings to leadership while impacting decisions affecting millions of customers.
Location: Gurugram, Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, review, and/or execute economic logic and analytical solutions to drive profitable credit business actions.
  • •Analyze large datasets to derive business insights and create innovative solutions.
  • •Apply unsupervised and supervised techniques (e.g., decision trees, reinforcement learning, graphical models, Bayesian models) to support risk and decisioning.
  • •Leverage closed-loop decision-making using Amex network capabilities to make decisions more intelligent and relevant.
  • •Structure and articulate business findings clearly for leadership and key business partners.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid ParentalCounseling Support

Key Requirements

  • •24-48 months of experience in analytics and big data workstreams.
  • •Ability to work effectively in a team environment and drive project deliverables to achieve business results.
  • •Strong communication and interpersonal skills for explaining business findings to leadership and key partners.
  • •Innovative problem-solving skills with the ability to learn quickly, work independently, and tackle complex unstructured initiatives.
  • •Proficiency with SAS, R, Python, Hive, Spark, SQL, and analytical methods including unsupervised/supervised learning and decision models.
Experience:2-4 yearsCreditFraud riskBig dataMachine learning
Education:Master's in economics, Statistics, Computer Science or related fields
Skills:CommunicationInterpersonal skillsTeamworkProblem-solvingIndependence
Tech Stack:SASRPythonHiveSparkSQLMap Reduce

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn