Lead LLM/ML Quantitative Analyst


New York; Los Angeles; Miami
Permanent
USD200000 - USD300000
Quantitative Analytics Research and Trading
PR/551562_1754054856
Lead LLM/ML Quantitative Analyst
Lead LLM/ML Quantitative Analyst
Location: New York, Los Angeles, Irvine, San Francisco, Miami, Chicago
Firm: Multi-Trillion AUM Global Asset Manager
A leading global asset manager with over a trillion dollars in assets under management is seeking a Lead LLM/ML Quantitative Analyst to join its Centralized Quantitative Research group. This individual will play a key role in developing and deploying advanced machine learning and large language model (LLM) solutions to enhance investment decision-making across the firm.
This is a high-impact role focused on building intelligent ML agents (bots) and tools that support portfolio managers across a range of strategies, including separately managed accounts (SMAs), long-only equity portfolios, and more. The ideal candidate combines deep technical expertise with a strong understanding of financial markets and a passion for solving complex, open-ended problems.

Key Responsibilities
  • Lead the design and implementation of ML/LLM-based agents that integrate into firmwide investment workflows.
  • Identify and prioritize high-value research initiatives.
  • Apply advanced quantitative techniques to model complex financial systems and uncover actionable insights.
  • Translate investment-relevant questions into testable hypotheses and scalable ML solutions.
  • Partner with technology teams to build and maintain robust research and computing environments.
  • Communicate research findings and model implications clearly to investment professionals and stakeholders.
  • Mentorship, collaboration, and thought leadership.

Qualifications
  • Advanced degree (MFE, MSc, PhD) in a quantitative field such as econometrics, mathematical finance, statistics, or physics.
  • 7-15 years of experience applying AI/ML techniques to financial markets; hands-on experience with LLMs is a strong plus.
  • Proficiency in quantitative programming languages such as Python, Julia, or R.
  • Strong interpersonal and consulting skills with the ability to collaborate across engineering, investment, and research teams.
  • Demonstrated ability to manage multiple priorities and deliver under tight deadlines.
  • Excellent communication skills, both written and verbal, with the ability to tailor insights to diverse audiences.
  • A self-starter mindset with a commitment to continuous learning and innovation.

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