Quantitative Developer: AI-Driven FI Data & UI Engineer

Millennium

New York (NY)

On-site

USD 175,000 - 250,000

Full time

14 days+
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Job summary

Millennium in New York seeks a seasoned software engineer to join the Fixed Income RAD team, delivering tactical, production-grade analytics and AI-enabled solutions for portfolio managers, traders and risk. You will prototype and build scalable tools that empower investment decisions.

You’ll develop data pipelines, dashboards and web UIs using React/TypeScript, Python and cloud technologies, and integrate AI/LLM capabilities.

Qualifications

  • Bachelor’s degree in Computer Science or related field.
  • 5+ years of development experience in production environment.
  • Experience in financial markets using mathematics, modeling or statistics.
  • Experience with AI/LLM tools for development and/or AI solutions.
  • Full stack experience with React+TypeScript/Deno and cloud tech (Kubernetes EKS/ArgoCD).
  • Strong communication skills and ability to work independently in a fast-paced setting.

Responsibilities

  • Prototype and deliver tactical, production-grade applications with PMs and traders.
  • Build data pipelines combining internal and market data for analytics and delivery formats.
  • Design data visualizations and web UIs surface data trends and workflows.
  • Develop and integrate AI/LLM-powered capabilities into team applications.
  • Collaborate with FI Management, Execution, and Risk to capture requirements.
  • Maintain, support and improve deployed capabilities as new requirements arise.
  • Deliver timely, production-quality solutions to PMs and risk desks.

Job description

Millennium in New York seeks a seasoned software engineer to join the Fixed Income RAD team, delivering tactical, production-grade analytics and AI-enabled solutions for portfolio managers, traders and risk. You will prototype and build scalable tools that empower investment decisions.

You’ll develop data pipelines, dashboards and web UIs using React/TypeScript, Python and cloud technologies, and integrate AI/LLM capabilities.

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