American Express

1 week ago

Directors, Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Drive strategic analysis of credit metrics and credit provision by leading credit-related data science and analytics. Develop and present key analyses and recommendations to management, and act as the decisionmaker for analytics that identify portfolio trends and opportunities to optimize business and risk decisions. Own data assets and applications, support troubleshooting and automation, and train others to drive adoption of data science tools.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Lead the provision of credit-related analytical support and develop key analyses and recommendations to management.
•Develop and serve as the decisionmaker for analytics that identify trends and opportunities in the credit portfolio to optimize business and risk decisions.
•Own specific data assets and applications used by the team.
•Troubleshoot issues, reconcile results, and identify improvements and automation opportunities using data science tools.
•Train other users to drive adoption of data science tools and approaches.

Pay and Benefits

Salary: 169,541 - 215,250 annually

Perks:MedicalDentalVisionLife InsuranceDisability BenefitsParental LeaveRetirementFinancial CoachingWellness StipendCounseling

Key Requirements

•Bachelor’s degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering, or a related field.
•5 years of progressively responsible risk management and risk analysis experience.
•2 years of experience with credit risk data from credit bureaus and internal credit sources, including data management processes.
•2 years of experience providing strategic guidance on risk information system implementation and enhancements, new data evaluation, and regulatory audit strategies.
•2 years of experience transforming credit and risk capabilities using Big Data technologies (Pig, Hive, R) and modeling (linear regression, logistic regression, kNN, GBM), plus Base SAS/SAS Enterprise Guide, SPSS, SQL, and Teradata.

Experience:5+ yearsRisk managementCredit riskBig DataMachine learningRegulatory audit

Education:Bachelor's

Skills:LeadershipData-driven decision-makingCommunicationStakeholder managementTraining and adoption

Tech Stack:PigHiveRBig DataLinear regressionLogistic regressionKNNGBMSASSAS Enterprise GuideSPSSSQLTeradata

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

1 week ago

Directors, Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Lead the provision of credit-related analytical support and develop key analyses and recommendations to management.
•Develop and serve as the decisionmaker for analytics that identify trends and opportunities in the credit portfolio to optimize business and risk decisions.
•Own specific data assets and applications used by the team.
•Troubleshoot issues, reconcile results, and identify improvements and automation opportunities using data science tools.
•Train other users to drive adoption of data science tools and approaches.

Pay and Benefits

Salary: 169,541 - 215,250 annually

Perks:MedicalDentalVisionLife InsuranceDisability BenefitsParental LeaveRetirementFinancial CoachingWellness StipendCounseling

Key Requirements

•Bachelor’s degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering, or a related field.
•5 years of progressively responsible risk management and risk analysis experience.
•2 years of experience with credit risk data from credit bureaus and internal credit sources, including data management processes.
•2 years of experience providing strategic guidance on risk information system implementation and enhancements, new data evaluation, and regulatory audit strategies.
•2 years of experience transforming credit and risk capabilities using Big Data technologies (Pig, Hive, R) and modeling (linear regression, logistic regression, kNN, GBM), plus Base SAS/SAS Enterprise Guide, SPSS, SQL, and Teradata.

Experience:5+ yearsRisk managementCredit riskBig DataMachine learningRegulatory audit

Education:Bachelor's

Skills:LeadershipData-driven decision-makingCommunicationStakeholder managementTraining and adoption

Tech Stack:PigHiveRBig DataLinear regressionLogistic regressionKNNGBMSASSAS Enterprise GuideSPSSSQLTeradata

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