AVP/VP, Investment Research, Private Equity, Technology Investment Group

GIC•San Francisco, CA

1d•Hybrid

About The Position

GIC is one of the world’s largest sovereign wealth funds, with over 2,000 employees across 11 locations globally. The Private Equity department deploys capital leveraging a long investment horizon, global presence, sector expertise, and skilled teams. The Technology Investment Group (TIG) invests across the technology company lifecycle, directly in growth-stage private and public companies, and as a limited partner in technology funds. TIG is a global team with a presence in San Francisco and Mumbai, focused on forging long-term financial and strategic relationships and helping partners navigate technological disruption. TIG oversees GIC’s Bridge Forum, a business development platform connecting tech companies with industry stakeholders. The role involves leading research efforts using advanced analytics, statistical methods, and AI/LLMs to drive investment decisions and maintain a differentiated market view. The position functions as a core partner on investment decisions, collaborating with deal teams to stress-test investment theses and address concerns, including direct engagement with prospective technology companies. The lean team structure offers significant responsibility at the center of the investment lifecycle.

Requirements

4+ years of technical experience (e.g., as a data scientist, data engineer, or in a technical research role).
Prior experience in a similar role at a venture or growth fund is highly preferred.
Degree(s) in computer science, mathematics, machine learning, engineering, or related quantitative discipline.
Expertise in data science, including experience with the modern data stack (e.g. Snowflake, Databricks, dbt, Tableau, etc.) and the ability to extract, clean, and analyze complicated datasets from diverse sources and formats.
Exceptional command of programming languages such as Python.
Excellent communication skills, with the ability to explain technical results to non-technical stakeholders.
Solid business understanding and judgement.
Attention to detail.
Team player and enjoys working in a collaborative environment.
Highly motivated self-starter and able to work independently.
Interest in investing and venture/growth equity markets.

Responsibilities

Partner with deal teams to deliver differentiated investment insights, validate core underwriting assumptions and drive investment decisions through a rigorous, quantitative approach.
Take ownership of developing innovative solutions that leverage data/AI to generate differentiated signals that can directly influence investment decisions.
Engage directly with prospective technology companies alongside the deal team to ‘supercharge’ our investment diligence process.
Identify novel methods to evaluate a company’s products and fundamental growth drivers, expanding and enhancing datasets, and performing deep-dive technical analysis.
Leverage AI/LLMs to increase the speed and depth of our investment diligence process.
Support the monitoring of our investment portfolio using a rigorous, data-driven approach.
Build strong relationships within the technology and AI community.