Analyst-Data Science

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine Learning0Education: mastersSkills: ["Communication","Collaboration","Analytical thinking","Relationship building","Project management"]

Develop and validate enterprise-wide AI/ML models for marketing, credit, fraud, and other business or risk use cases. Perform independent oversight, conduct gap assessments to strengthen model risk controls, and research improvements to elevate model excellence. Apply advanced statistical and quantitative techniques and communicate complex analytical results to business partners, senior leadership, and model committees, balancing accuracy with regulatory expectations.

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FursaFursa
American Express
American Express
2 days ago

Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Develop and validate enterprise-wide AI/ML models for marketing, credit, fraud, and other business or risk use cases. Perform independent oversight, conduct gap assessments to strengthen model risk controls, and research improvements to elevate model excellence. Apply advanced statistical and quantitative techniques and communicate complex analytical results to business partners, senior leadership, and model committees, balancing accuracy with regulatory expectations.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Conduct independent oversight of enterprise-wide AI/ML models across marketing, credit, fraud, and other business or risk types.
  • •Perform gap assessments and strengthen model risk control frameworks to meet regulatory standards.
  • •Conduct research to elevate model excellence and drive business impact.
  • •Challenge the conceptual soundness and intended use of predictive models while maximizing business returns.
  • •Communicate model results to business partners, senior leadership, and model committees.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRetirementPaid ParentalCounseling Support

Key Requirements

  • •0-2 years of experience in analytics or big data workstreams.
  • •MBA or a Master’s degree in Economics, Statistics, or a related field from a top-tier institute.
  • •Hands-on experience with model development or validation.
  • •Experience applying advanced statistical and/or quantitative techniques to solve business problems.
  • •Proficiency with at least one of Python, R, JAVA, SQL, or SAS; strong analytical, interpersonal, and communication skills.
Experience:0Big data
Education:Master's in Economics, Statistics or related fields
Skills:CommunicationCollaborationAnalytical thinkingRelationship buildingProject management
Tech Stack:PythonRJavaSQLSASMachine learningArtificial intelligenceData manipulationActive learningTransfer learningNeural modelsDecision treesReinforcement learningGraphical modelsGaussian processesBayesian modelsMap reduceRandom ForestGradient BoostingDeep learning

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