Full Time || Head of AI/Lead AI Scientist (Capital Markets/Quant) || New York City, NY (Hybrid)

Hi,

Capital Markets Data AI and Research Technology (DART) team is looking to hire a seasoned hands on AI Scientist (10+ years) to lead our AI efforts in Quant and Tech Services. The role will be responsible for applying Generative AI techniques to build solutions for Capital markets use cases. Candidate must have experience building Deep Learning or Machine Learning models; in depth knowledge of Machine Learning, deep learning and Generative AI. ****THIS POSITION IS VERY HANDS ON AND REQUIRES 90% CODING. THIS POSITION IS BUILDING AI TRADING PLATFORMS FOR CAPITAL MARKETS.

• Ability to function as the primary contributor building Generative AI solutions alongside the team while guiding the rest of the team on best practices, code reviews etc
  Build end to end AI & ML solutions
• Build agents (RAG and Otherwise) leveraging enterprise data which help capital markets Research, Banking, Sales and Trading
• Manage AI Ops and pipelines for Generative AI needs
• Function as the lead developer and prim contributor on AI projects
• Expected to code 90% of the time

Interview Process: Video

Location: Hybrid NYC/Midtown Candidates must be onsite day one and go into the office three times a week.

Job Description:

What is the opportunity?
Capital Markets Data AI and Research Technology (DART) team is looking to hire a seasoned hands on AI Scientist to lead our AI efforts in Quant and Tech Services. The role will be responsible for applying Generative AI techniques to build solutions for Capital markets use cases.
What will you do?

• Build end to end AI & ML solutions
• Build agents (RAG and Otherwise) leveraging enterprise data which help capital markets Research, Banking, Sales and Trading
• Manage AI Ops and pipelines for Generative AI needs
• Function as the lead developer and prim contributor on AI projects
• Expected to code 90% of the time
• Opportunity to lead a team of high performing AI scientists if desirable

What do you need to succeed?

Must Have:

• PhD or master s degree in computer science, Machine Learning, Deep Learning or equivalent experience
• 5+ years of experience building Deep Learning or Machine Learning models; in depth knowledge of Machine Learning, deep learning and Generative AI.
• Ability to function as the primary contributor building Generative AI solutions alongside the team while guiding the rest of the team on best practices, code reviews etc.
• In depth knowledge of Machine Learning, NLP, Information extraction etc.
• Knowledge of Embeddings, Re-rankers, agentic frameworks etc; knowledge of Inferencing, fine-tuning, model architectures etc.
• In depth knowledge and experience building front to back AI Operations; in depth knowledge of Algorithms and Data Structures; knowledge of distributed computing

Nice To Have:

• Experience implementing GenAI systems into production
• Experience with model evals and model monitoring

What s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team