@ Lone Pine Capital
Lone Pine Capital Associate Applied AI - Investment Research
Intake Call Video
Recorded by Parascribe
Key takeaways ✨ Company Overview • Lone Pine is an established firm, around for nearly 30 years, focused on fundamental long-term investing in public equity markets. • The team is approximately 100 people, with 10-20 on the investing side, maintaining a flat structure with direct access to portfolio managers.
Role Requirements • The role focuses on building internal tools to enhance investment processes, primarily involving applied AI solutions. • It will involve a lot of greenfield development and direct interaction with analysts to improve workflows.
Candidate Requirements • Looking for 2-4 years of experience, preferably with a background in math, physics, or CS and familiarity with financial markets. • Must be comfortable with coding and possess strong communication skills. Experience in investment banking, equity research, or similar fields is preferred.
Compensation and Logistics • The role is primarily onsite in New York, with some travel to Greenwich. A work-from-home arrangement is limited. • Compensation details were not specified, but competitive pay was implied.
Interview Process • Initial screening with the hiring manager, followed by a semi-technical screening and an AI design project conducted over Zoom. • Final stages involve onsite interviews with multiple team members and possibly further Zoom calls.
Ideal Candidate Profile • Should demonstrate a genuine interest in building tools and solving problems, not just seeking a stepping stone to an analyst role. • Preferably someone who has built projects on their own and can showcase a proactive approach to learning and development.
Why candidates should join Lone Pine Capital is a research-driven fundamental equity investor with an over 25 year track record managing $19+ billion in assets.
You'll join an elite 100-person team working on cutting-edge AI applications in investment research at one of the most respected hedge funds. This is your chance to shape how AI transforms fundamental analysis and portfolio construction at institutional scale.
As Associate Applied AI you'll build tools and AI agents that directly impact investment decisions while working closely with analysts across sectors. The role offers competitive comp plus comprehensive benefits and flexible remote work options. We are looking for an Associate, Applied AI – Investment Research with 2 - 4 years of experience to join our Data & Risk Analytics team. The ideal candidate will have a strong background in finance and technology and be capable of applying LLM-based tools to real-world investment problems. You will play a central role in advancing the adoption and impact of AI across our investment research process, working closely with investment professionals to enhance fundamental research and improve portfolio construction.
What you will do: • 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 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, and develop analytical infrastructure required to support AI workflows. What to ask candidates • What is their salary expectation? • How actively are they recruiting?
Seniority
2 - 4 years of experience in fundamental investing, quantitative strategy, Investment Banking, equity research, or applied AI at a tech/AI company
Work experience
Experience in fundamental investing, quantitative strategy, Investment Banking, equity research, or applied AI at a tech/AI company. Updated
Has built AI tools, prototypes, or agentic workflows independently Updated
Experience deploying agent- based AI systems for a broader team Updated
Education
Degree in math, physics, CS, statistics, or engineering Updated
Econ/finance degree acceptable if paired with relevant technical projects Updated
Hard skills
Comfortable writing code (Python preferred), using SQL, and building prototypes Updated
Fluency in fundamental analysis, valuation concepts, and financial markets sufficient to evaluate AI outputs through an investment lens Updated
Hands- on experience with LLMs, prompt engineering, or AI tools Updated
Familiarity with cloud platforms (AWS, Databricks, Snowflake) Updated
Soft skills
Ability to work cross- functionally and extract requirements from stakeholders and fill in gaps independently Updated
Miscellaneous
If coming from an econ/finance background must- have relevant technical projects or GitHub presence Updated
Traits to avoid
Pure engineers who want to write code all day Updated
Candidates hoping to use this as a backdoor to an Analyst seat Updated
Job- hopping Updated
Salary $200K - $250K
Visa sponsorship available
ON_SITE work policy
Full-time position
Hiring Count Looking to hire 1 candidate for this role
Location
Tech stack