Associate, Applied AI - Investment Research

Position Summary:

The Data & Risk Analytics team plays a central role in Lone Pine’s investment process, working closely with investment, trading and risk professionals to enhance fundamental research and improve portfolio construction, performance analysis, and risk management. The Associate, Applied AI will be a member of this team focused on advancing the adoption and impact of AI across the investment research process: designing and building screening tools, developing agents for recurring analyst workflows, and creating sector-specific point solutions. The role will liaise across investment, analytics, and development teams, designing core logic and functional prototypes and partnering with developers to build out production-grade deployment.

Job Responsibilities:

• Work with individual analysts to deeply understand their research process and design and build targeted solutions for their specific sector coverage
• Translate research needs into technical specifications; design functional prototypes and coordinate with the development team for construction and firm-wide deployment
• Design and iterate on AI-driven screening tools that help analysts evaluate and prioritize investment ideas across the investable universe
• Build and deploy agents and reusable AI-powered skills for recurring analyst workflows in conjunction with the development team
• Support new data resource review and integrations, develop analytical infrastructure required to support AI workflows
• Provide ad-hoc analytical and operational support to Lone Pine’s Data & Risk Analytics team

Required Skills & Experience:

• Bachelor’s or Master’s degree in Finance, Economics, Analytical or Quantitative Finance, Computer Science, Engineering, Mathematics, or a related field
• 2–4 years of experience in quantitative strategy, investment banking, equity research, management consulting, or in building agentic AI solutions at a technology or AI company
• Strong business judgment and analytical skills; ability to quickly understand how an analyst thinks about a company and what constitutes quality research output
• Fluency in fundamental analysis, valuation concepts, and financial markets sufficient to evaluate AI outputs through an investment lens
• Experience with, or strong aptitude for, AI project management, agentic AI workflows, prompt engineering, and applying LLM-based tools to real-world problems
• Working proficiency in Python and SQL; comfort scripting and building functional prototypes, though this is not a traditional software development role
• Motivated, collaborative, and self-directed problem solver who can operate independently or in conjunction with other team members and iterate quickly
• High standards of integrity, professionalism, and discretion

Preferred Qualifications:

• Experience designing and deploying agent-based AI systems, multi-step reasoning chains, or autonomous workflow tools
• Familiarity with data pipeline development, ETL processes, and cloud platforms (AWS, Databricks, Snowflake)
• Track record of designing and/or building tools or processes that were adopted by a broader team

About Lone Pine Capital LLC:

Lone Pine Capital LLC (“Lone Pine”) is a private investment management company in operation for over 25 years, investing in global multi-industry public markets, through long-only, long and short, and private investment strategies. Lone Pine currently manages approximately $19 billion in assets across its various strategies. Lone Pine has two offices, in Greenwich, Connecticut and in New York City. The firm employs a team comprised of approximately 100 employees.

We provide comprehensive benefits to support our employees, their careers, their health, and their well-being, including the following:

• Competitive compensation structure: total compensation expectation for this role will be between $200,000 to $250,000 per year, depending on experience
• Fully paid health care benefits for employees and dependents
• Generous parental and family leave policies
• Paid vacation and sick time
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with a generous employer match

This role is partially remote on the following designated days:

• Subject to adjustment according to department needs, every Friday from the first business day in September following Labor Day through the week preceding Memorial Day
• Subject to adjustment according to department needs, every Thursday and Friday from the week of Memorial Day through and including the Friday preceding Labor Day
• The week that the Fourth of July holiday is celebrated
• From the Monday before the Thanksgiving holiday is observed, through and including the Friday of that week
• From December 26 through and including January 1