Manager, Data Science

American Express
New York
Workplace: HybridFull timeUSD 103,750 - 174,750 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Written communication","Flexibility","Adaptability"]

Oversee credit risk, fraud risk, and line management machine learning models within the Model Risk Management Group, including evaluating conceptual soundness, data quality, validation, and ongoing monitoring. Produce detailed model review reports for regulatory and internal audit needs, communicate results to business partners and senior leaders, and enhance the governance framework to support evolving modeling techniques and model risk management.

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FursaFursa
American Express
American Express
4 days ago

Manager, Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Oversee credit risk, fraud risk, and line management machine learning models within the Model Risk Management Group, including evaluating conceptual soundness, data quality, validation, and ongoing monitoring. Produce detailed model review reports for regulatory and internal audit needs, communicate results to business partners and senior leaders, and enhance the governance framework to support evolving modeling techniques and model risk management.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Oversee credit risk, fraud risk, and line management models, including evaluating conceptual soundness, data quality, performance validation, and ongoing monitoring.
  • •Document detailed model review reports and prepare for regulatory and internal audit reviews.
  • •Communicate model review results to business partners, senior leaders, and regulators.
  • •Evaluate machine learning algorithms and their application on models.
  • •Enhance the governance framework to accommodate evolving modeling techniques and model development for model risk management.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kParental Leave

Key Requirements

  • •Advanced degree in quantitative fields.
  • •Hands-on modeling experience and a strong understanding of machine learning algorithms (e.g., gradient boosting machines, XGBoost, neural networks), AI/deep learning, and classic statistical modeling techniques.
  • •Experience in large data processing; familiarity with big data platforms and applications such as Hadoop, Pig, Hive, Spark, and AWS is a plus.
  • •Skilled in coding using Python or R; Java, Scala, and C++ are a plus.
  • •Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions.
Experience:Model risk managementMachine learningCredit riskFraud riskBig data
Education:Bachelor's
Skills:CommunicationWritten communicationFlexibilityAdaptability
Tech Stack:Machine LearningGradient boosting machineXGBoostNeural networkArtificial intelligenceDeep learningStatistical modelingHadoopPigHiveSparkAWSPythonRJavaScalaC++

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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