Senior Analyst-Data Science

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

Build, deploy, and validate predictive models to support profitable decisions across credit risk, fraud, and marketing. Work within the Credit & Fraud Risk (CFR) Analytics & Data Science CoE, analyzing large datasets to derive business insights and improve risk management using big data and machine learning. Present structured findings to leadership, leverage closed-loop decisions across the Amex network, and stay current on developments in finance, payments, and analytics.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
American Express
American Express
1 day ago

Senior Analyst-Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build, deploy, and validate predictive models to support profitable decisions across credit risk, fraud, and marketing. Work within the Credit & Fraud Risk (CFR) Analytics & Data Science CoE, analyzing large datasets to derive business insights and improve risk management using big data and machine learning. Present structured findings to leadership, leverage closed-loop decisions across the Amex network, and stay current on developments in finance, payments, and analytics.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, deploy, and validate predictive model(s) to enable profitable decisions across risk, fraud, and marketing
  • •Use supporting logic to integrate model outputs into economic decision-making
  • •Analyze large datasets to derive business insights and create innovative solutions
  • •Leverage closed-loop insights from the Amex network to make decisions more intelligent and relevant
  • •Structure and articulate business findings to leadership and key partners

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsParental Leave

Key Requirements

  • •MBA or a master’s degree in economics, Statistics, Computer Science, or a related field
  • •24–48 months of experience in analytics and big data workstreams
  • •Ability to work effectively in a team and drive project deliverables to business results
  • •Ability to communicate effectively and work independently on complex, unstructured initiatives
  • •Hands-on experience with SAS, R, Python, Hive, Spark, SQL, and supervised/unsupervised ML techniques
Experience:2-4 yearsFraud riskCredit riskFinancial servicesBig dataMachine learning
Education:Master's
Skills:CommunicationInterpersonal skillsProblem-solvingIndependent workTeamwork
Languages:US
Tech Stack:SASRPythonHiveSparkSQLMap ReduceTransfer learningActive learningNeural modelsDecision treesReinforcement learningGraphical modelsGaussian processesBayesian modelsAttribute engineering

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