VP, AI & ML for Capital Markets - Fixed Income

TWG AI; New York (NY); Hybrid; USD 290,000 - 300,000; Full time

Job summary

TWG Group Holdings, LLC (TWG Global) is seeking a Staff Machine Learning Engineer (VP) to design and deploy production AI systems for investment banking and capital markets. You will lead end-to-end LLM pipelines, collaborate with researchers and senior stakeholders, and mentor engineers while advancing AI capabilities across the enterprise.

The role is hybrid, based in New York, with a focus on transforming workflows through scalable, auditable AI solutions and careful consideration of latency

Qualifications

• 8+ years building and deploying production ML/Software in finance.
• Leader capable of driving AI/ML projects with business stakeholders.
• Hands-on with production LLM apps, RAG architectures, and evaluation pipelines.

Responsibilities

• Design and deploy AI systems automating investment banking and capital markets workflows with auditability.
• Build production LLM pipelines end-to-end: extraction, retrieval, orchestration, structured output.
• Advance AI techniques through prototyping, benchmarking, and rollout.
• Partner with researchers and business stakeholders to productionize models, balancing latency and cost.
• Mentor engineers and data scientists to raise technical excellence.

Skills

Python

ML systems

NLP

Stakeholder communication

Cloud infrastructure

MLOps

Leadership

Investment banking knowledge

Education

Master's degree in CS/ML/Finance

PhD in CS/ML/Finance (preferred)

Tools

PyTorch

LangChain

scikit-learn

vector databases

AWS/GCP

CI/CD

Job description

TWG Group Holdings, LLC (TWG Global) is seeking a Staff Machine Learning Engineer (VP) to design and deploy production AI systems for investment banking and capital markets. You will lead end-to-end LLM pipelines, collaborate with researchers and senior stakeholders, and mentor engineers while advancing AI capabilities across the enterprise.

The role is hybrid, based in New York, with a focus on transforming workflows through scalable, auditable AI solutions and careful consideration of latency