Analyst-Data Science

American Express
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 1-2 yearsEducation: mastersSkills: ["Communication","Teamwork","Independent thinking","Attention to detail","Multitasking"]

Work with the Credit and Fraud Risk Decision Science team to develop analytics, predictive models, and algorithms that improve customers’ digital experiences across the full lifecycle. Build machine learning–powered models, transform complex behavioral data into actionable insights, and collaborate with product owners and tech partners to test, deploy, and validate solutions in production. Use large-scale digital and external data to create decision-making frameworks and closed-loop optimization via the Amex network.

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FursaFursa
American Express
American Express
1 month ago

Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Work with the Credit and Fraud Risk Decision Science team to develop analytics, predictive models, and algorithms that improve customers’ digital experiences across the full lifecycle. Build machine learning–powered models, transform complex behavioral data into actionable insights, and collaborate with product owners and tech partners to test, deploy, and validate solutions in production. Use large-scale digital and external data to create decision-making frameworks and closed-loop optimization via the Amex network.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build reports and advanced machine learning models and algorithms to improve online and mobile app customer experiences.
  • •Collaborate with product owners to redesign product/content using a data-driven approach.
  • •Work with tech partners to test, implement, and deploy modeling solutions into production systems.
  • •Develop insights into customer behavior and transform complex behavioral data into useful information.
  • •Use closed-loop decisioning across the Amex network to make decisions more intelligent and relevant.

Key Requirements

  • •A master’s in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Operation Research) or an MBA with hands-on analytical and machine learning experience.
  • •Expertise in an analytical language such as Python or R, plus experience with databases like Hive or SQL (or equivalents).
  • •Deep understanding of machine learning/statistical algorithms including deep learning and boosting; data visualization experience is a plus.
  • •Ability to frame business problems into mathematical programming problems and engineer solutions that deliver business insights.
  • •Strong communication skills and the ability to work effectively in a team environment.
Experience:1-2 yearsAI/MLData Analytics
Education:Master's in Quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research) or MBA
Skills:CommunicationTeamworkIndependent thinkingAttention to detailMultitasking
Tech Stack:PythonRHiveSQLSASDeep learningBoostingData visualizationExcelPowerPointWebAppAPIBig Data

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