Data Scientist, Generative Ai - Spread Products

Citigroup

New York, New York, United States
Base: $175,000.00 - $250,000.00; bonus/equity: dis...
Hybrid
Generative ai solutions
Large language models (llms)
Retrieval-augmented generation (rag)
Pioneer Generative AI Solutions: Design, develop, and deploy production-grade AI applications leveraging state-of-the-art Generative AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced agentic frameworks tailored for capital markets

Job Summary

  • Pioneer Generative AI Solutions: Design, develop, and deploy production-grade AI applications leveraging state-of-the-art Generative AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced agentic frameworks tailored for capital markets.
  • Engineer Robust Data Pipelines: Design, construct, and maintain scalable data pipelines to underpin advanced AI/ML workflows, seamlessly integrating vast datasets including real-time market data, comprehensive credit data, securitized product performance analytics, and proprietary research content.
  • An intellectually stimulating and fast-paced environment at the intersection of cutting-edge AI and global capital markets.

Matching Summary

Pioneer Generative AI Solutions: Design, develop, and deploy production-grade AI applications leveraging state-of-the-art Generative AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced agentic frameworks tailored for capital markets.

Salary

Base: $175,000.00 - $250,000.00; Bonus/Equity: Discretionary and formulaic incentive and retention awards; Benefits: Medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Skills & Requirements

Must-have

  • Generative AI solutions
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic frameworks
  • Python, Pandas, NumPy, PyTorch/TensorFlow
  • Advanced SQL skills
  • Credit markets and securitized products

Nice-to-have

  • Quantitative research synergy
  • Regulatory adherence and governance
  • Continuous learning and innovation
  • AI community engagement

Key Requirements

  • 1-5 years of professional experience
  • Bachelor's or Master's degree
  • Experience in AI/ML engineering or data science

Work Rights

Not specified

Tailored Resume

Cover Letter