American Express

3 days ago

Analyst-Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Support independent validation and governance of Finance & Treasury models for regulatory and risk use cases, including CCAR PPNR, Membership Rewards URR, Moody’s macroeconomic models, and related non-model tools. Review methodology, assumptions, data, implementation, and performance for conceptual soundness. Execute analytical testing (benchmarking, sensitivity, replication), prepare validation reports, track findings to remediation, and partner with developers and senior risk leaders.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Support independent validation of Finance & Treasury models, including CCAR PPNR, Membership Rewards URR, Moody's macroeconomic models, and Non-Model Tools.
•Review model methodology, assumptions, data, implementation, and performance to assess conceptual soundness and ongoing suitability.
•Perform analytical testing, benchmarking, sensitivity analysis, and replication to challenge first-line model development teams.
•Evaluate model documentation and governance against internal standards and regulatory expectations; identify gaps and recommend improvements.
•Track validation findings and support review of remediation evidence; prepare validation reports and communicate results to stakeholders and senior leadership.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental LeaveCounselingHybrid Work

Key Requirements

•Bachelor's or Master's degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Operations Research, or a related quantitative discipline.
•Strong analytical and problem-solving skills with the ability to interpret quantitative results and communicate insights effectively.
•Experience with Python, SQL, SAS, R, or similar analytical tools.
•Understanding of statistical modeling, forecasting techniques, regression analysis, or machine learning fundamentals.
•Familiarity with CCAR, CECL, IFRS 9, stress testing, regulatory capital planning, or financial forecasting models.

Experience:Financial services

Education:Bachelor's

Skills:Problem-solvingCommunicationIndependent judgmentCollaborationPrioritization

Tech Stack:PythonSQLSASRCCARCECLIFRS 9Stress testing

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

Website LinkedIn

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American Express

3 days ago

Analyst-Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Support independent validation of Finance & Treasury models, including CCAR PPNR, Membership Rewards URR, Moody's macroeconomic models, and Non-Model Tools.
•Review model methodology, assumptions, data, implementation, and performance to assess conceptual soundness and ongoing suitability.
•Perform analytical testing, benchmarking, sensitivity analysis, and replication to challenge first-line model development teams.
•Evaluate model documentation and governance against internal standards and regulatory expectations; identify gaps and recommend improvements.
•Track validation findings and support review of remediation evidence; prepare validation reports and communicate results to stakeholders and senior leadership.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental LeaveCounselingHybrid Work

Key Requirements

•Bachelor's or Master's degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Operations Research, or a related quantitative discipline.
•Strong analytical and problem-solving skills with the ability to interpret quantitative results and communicate insights effectively.
•Experience with Python, SQL, SAS, R, or similar analytical tools.
•Understanding of statistical modeling, forecasting techniques, regression analysis, or machine learning fundamentals.
•Familiarity with CCAR, CECL, IFRS 9, stress testing, regulatory capital planning, or financial forecasting models.

Experience:Financial services

Education:Bachelor's

Skills:Problem-solvingCommunicationIndependent judgmentCollaborationPrioritization

Tech Stack:PythonSQLSASRCCARCECLIFRS 9Stress testing

Company Brief

American Express

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

Website LinkedIn