TWG Global AI

TWG Global AI

VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income

New York, New York, United States · Vp

Sponsorship not specified$290k-$300kDetected 16 days ago
PythonCode ReviewVector DatabasesAWSGCPCloud PlatformsCI/CDMachine LearningPyTorchscikit-learnData ScienceNLPLLMsRAGLLMOpsMLOpsLangGraphStatisticsValuationResearchCommunicationCollaboration

About the role

  • As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for designing and deploying production AI systems that power investment banking and capital markets workflows across the enterprise.
  • You will have direct visibility to senior business stakeholders, translating complex business workflows into working AI systems.

Responsibilities

  • Design and deploy AI systems that automate high-impact investment banking and capital markets workflows-compressing multi-hour analytical tasks into minutes while meeting the accuracy, auditability, and reliability standards of front-office users.
  • Build and own production LLM pipelines end-to-end: structured extraction from complex financial documents, retrieval-augmented generation, multi-step orchestration, and structured output parsing.
  • Partner with AI researchers, data scientists, and domain experts to translate experimental models into production-ready systems-hardening prototypes for latency, cost, accuracy, and reliability while generalizing solutions across multiple business domains.
  • Own the development of reusable AI capabilities and platform components that serve as building blocks for downstream applications across the organization, setting the engineering standards for how AI systems are built, evaluated, and maintained.
  • Collaborate directly with senior business stakeholders (Managing Directors, portfolio managers, research analysts) to understand workflows, gather feedback, and iterate on AI products that meet practitioner-grade quality standards.
  • Build AI-driven analytics for fixed income and credit markets that fuse quantitative signals with unstructured data-turning market data, filings, and research into decision-ready insight for investment professionals.
  • Mentor engineers and data scientists through design reviews, code reviews, and hands-on pairing-raising the bar for technical excellence and engineering rigor across the team.
  • Reporting to the Executive Director of AI, you will play a critical role in building AI-powered products that deliver measurable business outcomes for senior stakeholders including Managing Directors and portfolio managers.

Requirements

  • Proven track record of leading AI/ML projects from ideation to production, including cross-functional collaboration, technical ownership, and direct engagement with business stakeholders.

Nice to have

  • Hands-on experience with enterprise data and AI platforms (e.g., Palantir Foundry or similar)-including developing, deploying, and integrating AI solutions within an integrated data ecosystem.
  • CFA or FRM certification.
  • Prior experience in a client-facing capacity within financial services.
  • Compensation The base pay for this position is $290,000-300,000.
  • Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions and present directly to senior financial services stakeholders.

Compensation

  • $290k-$300k
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