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American Express
American Express
B2BBank ishiMoliya
American Express bank ishi, moliya va B2B to‘lovlari sohalarida faoliyat yurituvchi global moliyaviy xizmatlar kompaniyasidir. Kompaniya faoliyati jismoniy shaxslar, biznes va korporativ mijozlar uchun kredit kartalari; to‘lov va savdogarlarga xizmat ko‘rsatish xizmatlari; jamg‘arma hisobvaraqlari, depozit sertifikatlari va shaxsiy kreditlar; shuningdek, mukofotlar, sayohat dasturlari, korporativ to‘lov yechimlari, moliyaviy ta’lim, xavfsizlik xizmatlari hamda karta egalari va savdogarlarni qo‘llab-quvvatlashni o‘z ichiga oladi.
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Kompaniyadagi ish o‘rinlari

Director of Data Science - American Express - New York Hybrid

Lead AI and Decision Science strategy for American Express Global Servicing, developing production-ready decisioning, recommendation, and conversational AI capabilities.

USAmerika Qo‘shma ShtatlariNYNyu-York
144 250 $ – 256 250 $ / yil
GibridTo‘liq stavkaYetakchiTalab Qilinadigan Til: inglizchaMa’lumotlar olimi

Tavsif

  • Set and direct the Decision Science roadmap for Global Servicing
  • Find and rank high-value opportunities across servicing, membership engagement, colleague productivity, and operational performance
  • Convert business strategy into Decision Science priorities, success metrics, and investment decisions
  • Provide technical direction across AI and machine learning, generative AI, prediction, recommendation, optimization, experimentation, and learning
  • Advance Agentic AI, multi-agent workflows, transformer-based recommendation, representation learning, and conversational AI or LLM systems
  • Assess architectures, modeling decisions, evaluation methods, and technical trade-offs
  • Move teams from experimental concepts to scalable production implementations
  • Oversee reusable, production-ready data science products and decisioning systems built from customer, behavioral, contextual, and operational data
  • Collaborate with Technology, platform, and governance teams on AI architecture, observability, controls, quality, and lifecycle management
  • Lead, mentor, and develop a high-performing data science organization
  • Expand capabilities in applied generative AI, AI engineering and architecture, advanced recommendation and decisioning, strategic problem solving, and commercial communication
  • Advise senior stakeholders and lead prioritization, investment, adoption, and delivery of major Decision Science programs
  • Monitor developments in AI and Decision Science and turn relevant approaches into practical, scalable capabilities and reusable practices
  • Define a long-term technical roadmap spanning Agentic AI, conversational AI, modern recommendation, experimentation, AI engineering, architecture, governance, and continuous optimization

Talablar

  • Bachelor’s degree in a quantitative discipline such as engineering, computer science, mathematics, statistics, or economics
  • Outstanding analytical and conceptual problem-solving skills, including the ability to structure and resolve complex, ambiguous business problems using first-principles reasoning
  • Demonstrated experience leading and developing high-performing analytics or data science teams in complex, cross-functional organizations
  • Strong technical grounding in contemporary data science and artificial intelligence
  • Ability to shape solution design, question technical approaches, and link analytical decisions to business results
  • Ability to engage senior stakeholders through clear, structured communication and persuasive executive storytelling
  • Experience taking large-scale analytics, Decision Science, or AI programs from conception through production, adoption, and continued optimization
  • Strong commercial judgment and storytelling skills that connect technical strategy, architecture, and investment decisions to measurable value
  • Preferred: Master’s degree in a quantitative discipline
  • Preferred: Experience with Agentic AI, agentic workflows, transformer architectures, transformer-based recommendation, conversational AI, LLMs, advanced personalization, or next-best-action systems
  • Preferred: Knowledge of the full Decision Science and AI lifecycle, including experimentation, model and AI evaluation, decision orchestration, production deployment, monitoring, governance, and ongoing optimization
  • Preferred: Record of creating scalable data products, recommendation or decisioning systems, or AI capabilities with measurable results
  • Preferred: Experience converting traditional analytics into AI-powered, productized Decision Science capabilities and reusable enterprise solutions
  • Visa sponsorship may be available for some positions based on business unit requirements, role, cost, and applicable law

Imtiyozlar

  • Competitive base salary
  • Bonus opportunities
  • 6% company retirement savings match
  • Complimentary financial coaching and financial well-being resources
  • Comprehensive medical, dental, vision, life insurance, and disability coverage
  • Flexible work arrangements, including hybrid, onsite, or virtual options depending on the role and business needs
  • More than 20 weeks of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy
  • Complimentary access to onsite wellness centers with nurses and doctors, subject to location
  • Free confidential counseling through the Healthy Minds program
  • Career development and training programs
  • Equity where applicable
  • Visa sponsorship may be available for some positions based on business unit requirements, role, cost, and applicable law

O‘xshash ish o‘rinlari

TD

Financial Crime Risk Investigator I

TD
H1B vizasi homiysiBank ishiMoliyaSug‘urta
USAmerika Qo‘shma ShtatlariFLFloridaMEMenNJNyu-JersiNYNyu-YorkNCShimoliy KarolinaSCJanubiy Karolina
53 560 $ – 86 320 $ / yil
MasofaviyTo‘liq stavkaJuniorO‘rta darajaTalab Qilinadigan Til: inglizchaMoliyaviy jinoyat

Investigate financial crime, fraud, money laundering, and sanctions cases for TD Bank, using risk assessments and digital evidence analysis. Support investigations from initial case review through documentation, recommendations, and preparation for interviews and reviews.

Ochish