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

GIC Private Limited · United States

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide. GIC Private Equity We deploy capital in areas where we can utilise our comparative advantages, namely, a long investment horizon, global presence, sector expertise, as well as skilled, and experienced teams. Technology Investment Group (TIG) TIG invests across the lifecycle of technology companies, investing directly in growth-stage private and public companies, and also serves as a limited partner in top-tier technology funds. TIG is a global team with a presence in San Francisco and Mumbai. TIG’s mission is to forge long-term financial and strategic relationships with its global partners. It is focused on helping its portfolio companies, entrepreneurs, and fellow asset managers navigate opportunities associated with technological disruption. TIG incubated and oversees GIC’s Bridge Forum, a proprietary business development platform that has built communities connecting innovative tech companies with traditional industry stakeholders. We’ve partnered with category-leading technology companies such as Anthropic, Stripe, Databricks, Affirm, DoorDash, Ramp, Figma, Grafana, and many more. What impact can you make in this role? You will be part of a team that is one of the largest, and most established private equity investors in the world today. You will lead the team’s research efforts using advanced analytics, statistical methods, and AI/LLMs to drive investment decisions and ensure we maintain a differentiated view in the market. Moving beyond traditional analysis, you will function as a core partner on investment decisions, collaborating directly with the deal teams to stress-test investment theses and address key investment concerns. This includes direct engagement with prospective technology companies, using data and AI to answer key investment questions, and ultimately driving investment decisions alongside the deal team. Our lean team provides the opportunity for team members to assume significant responsibility at the center of the investment lifecycle What will you do as AVP/VP?

• 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. This includes identifying novel methods to evaluate a company’s products and fundamental growth drivers, expanding and enhancing the datasets that we have access to, 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

• 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