Analyst - Data Science

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Communication","Prioritization","Independent judgment","Partnership building"]

Support independent validation and governance of Credit Risk models and Non-Model Tools, ensuring they are conceptually sound and analytically robust. Apply statistical and machine-learning fundamentals to review methodology, assumptions, data, implementation, and performance. Conduct analytical testing (benchmarking, sensitivity, replication), produce validation reports, track findings to remediation closure, and partner cross-functionally with model developers and risk leaders, including for regulatory exams and audits.

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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: 11 hours agoStatus: Live

Job Summary

Support independent validation and governance of Credit Risk models and Non-Model Tools, ensuring they are conceptually sound and analytically robust. Apply statistical and machine-learning fundamentals to review methodology, assumptions, data, implementation, and performance. Conduct analytical testing (benchmarking, sensitivity, replication), produce validation reports, track findings to remediation closure, and partner cross-functionally with model developers and risk leaders, including for regulatory exams and audits.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Support independent validation of Credit Risk (CFR) models and Non-Model Tools, including PD, EAD, and LGD model components.
  • •Review model methodology, assumptions, data, implementation, and performance to assess conceptual soundness and suitability.
  • •Perform independent analytical testing, benchmarking, sensitivity analysis, and replication to challenge first-line development teams.
  • •Evaluate model documentation and governance against internal standards and regulatory expectations, identify gaps, and recommend improvements.
  • •Prepare validation reports, track findings through remediation evidence, and partner with cross-functional teams for regulatory exams, audits, and governance initiatives.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid ParentalRetirementPaid Leave

Key Requirements

  • •Bachelor's or Master's degree in a quantitative discipline (Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Operations Research, or related).
  • •Strong analytical and problem-solving skills to interpret quantitative results and communicate insights.
  • •Experience with Python, SQL, SAS, R, or similar analytical tools.
  • •Understanding of statistical modeling, forecasting, regression, or machine learning fundamentals.
  • •Excellent written and verbal communication skills, with ability to manage multiple priorities and work a 1:00 pm to 9:30 pm shift.
Experience:Financial servicesModel risk management
Education:Bachelor's in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Operations Research, or a related quantitative discipline
Skills:Analytical thinkingProblem-solvingCommunicationPrioritizationIndependent judgmentPartnership building
Tech Stack:PythonSQLSASRMachine learningStatistical modelingRegression analysisForecasting

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