Campus Graduate Masters Full-Time Manager Onboarding - 2027 Global Decision Science, Credit & Fraud Risk - New York, NY

American Express
New York
Workplace: HybridFull timeUSD 103,750 - 174,750 annuallyFunction: Banking, Lending & CreditExperience: 3+ yearsEducation: mastersSkills: ["Strategic thinking","Interpersonal skills","Ability to work autonomously","Presentation skills","Analytical thinking"]

Build and evaluate predictive models for credit and fraud risk using large-scale datasets. Use Python/R, SQL/Hive, and machine learning (including deep learning) to improve decisioning accuracy and automation, such as GenAI-enabled chatbot customer connects. Translate business goals into analytical questions, document modeling choices, and deliver clear presentations of methods and business impact to cross-functional stakeholders within the Credit and Fraud Risk team.

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FursaFursa
American Express
American Express
1 day ago

Campus Graduate Masters Full-Time Manager Onboarding - 2027 Global Decision Science, Credit & Fraud Risk - New York, NY

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Last checked: 7 hours agoStatus: Live

Job Summary

Build and evaluate predictive models for credit and fraud risk using large-scale datasets. Use Python/R, SQL/Hive, and machine learning (including deep learning) to improve decisioning accuracy and automation, such as GenAI-enabled chatbot customer connects. Translate business goals into analytical questions, document modeling choices, and deliver clear presentations of methods and business impact to cross-functional stakeholders within the Credit and Fraud Risk team.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Banking, Lending & Credit

Key Responsibilities

  • •Query and manipulate large datasets using SQL, Hive, and Python.
  • •Build and test predictive models using machine learning techniques such as logistic regression, decision trees, and clustering.
  • •Document modeling choices and provide rationale for algorithm selection.
  • •Translate business goals into technical requirements and analytical questions.
  • •Analyze existing decisioning models and implement plans to improve prediction accuracy.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually
Perks:Hybrid WorkWellness StipendCounselling Support

Key Requirements

  • •Master’s degree.
  • •3+ years of relevant professional experience.
  • •Programming proficiency in Python or R for data analysis, modeling, and automation.
  • •Ability to query large-scale datasets efficiently using SQL or Hive.
  • •Hands-on experience with machine learning and statistical analysis, including experimentation with neural networks and natural language processing.
Experience:3+ years
Education:Master's
Skills:Strategic thinkingInterpersonal skillsAbility to work autonomouslyPresentation skillsAnalytical thinking
Languages:English
Tech Stack:PythonRSQLHiveNeural networksNatural language processingMachine learningLogistic regressionDecision treesClusteringDeep learningDistributed data systemsCloud platforms

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