Manager - Data Science

American Express
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Teamwork","Independent thinking","Attention to detail","Stakeholder collaboration"]

Lead Decision Science efforts in Credit and Fraud Risk by developing machine learning-powered predictive models and decision-making frameworks. Own the design, implementation, and optimization of sophisticated algorithms from mathematical formulations into production-grade C++/CUDA solutions, integrating with Python ML environments. Architect single- and multi-GPU execution on NVIDIA hardware and Google Cloud Platform, and establish rigorous validation, correctness, and performance regression practices to drive profitable customer decisions.

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FursaFursa
American Express
American Express
12 hours ago

Manager - Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Lead Decision Science efforts in Credit and Fraud Risk by developing machine learning-powered predictive models and decision-making frameworks. Own the design, implementation, and optimization of sophisticated algorithms from mathematical formulations into production-grade C++/CUDA solutions, integrating with Python ML environments. Architect single- and multi-GPU execution on NVIDIA hardware and Google Cloud Platform, and establish rigorous validation, correctness, and performance regression practices to drive profitable customer decisions.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Own the design, implementation, and optimization of sophisticated machine learning algorithms in modern C++ from mathematical and algorithmic formulations to production.
  • •Translate mathematical and statistical concepts into efficient algorithms and evaluate alternative computational approaches.
  • •Optimize CPU implementations using parallelism, multithreading, vectorization, and memory/cache performance techniques while preserving correctness.
  • •Design and implement CUDA C/C++ solutions to accelerate ML algorithms on NVIDIA GPUs and optimize GPU computation, memory access, synchronization, and data movement.
  • •Architect and validate single- and multi-GPU execution, including benchmarking and performance-regression methodologies, and integrate C++/CUDA components with Python ML environments.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid ParentalHybrid Work

Key Requirements

  • •PhD in a quantitative field (Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, Statistics, or similar).
  • •Strong foundation in mathematics, statistics, optimization, and machine learning, including translating formulations into computational algorithms.
  • •Deep expertise in modern C++, algorithms, and data structures, with experience implementing and optimizing complex numerical or ML algorithms.
  • •Strong GPU and parallel performance skills, including CUDA C/C++ on NVIDIA GPUs and CPU/GPU parallel algorithm design.
  • •Proficiency in Python (and analytical languages like Python/R) and experience integrating C++/CUDA into production ML or computational systems.
Education:PhD / Doctorate
Skills:CommunicationTeamworkIndependent thinkingAttention to detailStakeholder collaboration
Tech Stack:C++CUDANVIDIA GPUsPythonRHiveSQLExcelPowerPointGoogle Cloud Platform (GCP)

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