Function
- Data Science
- Investment
Published
Sep 2024
Published
Sep 2024
Function
- Data Science
- Investment
Activant's perspective
About Us
We are a global investment firm, obsessed with founders and their tech-centric companies shaping the commerce infrastructure of tomorrow. Building on the success of our funds to date ($1.2B in total AUM), our firm continues to expand in size and geographic reach, with a growing portfolio of companies led by phenomenal entrepreneurs. Our team is comprised of people-centric individuals from diverse backgrounds (professionally, personally, and by education) who are passionate about discovering and working with disruptive growth-stage businesses. We value people who will also shape the future of Activant Capital with an entrepreneurial mindset along the way.
Job Description
Job Description
Develop investment theses on emerging trends, including generative AI, enterprise software, and investment opportunities based on primary and secondary research. Identify and evaluate investment opportunities in companies that are aligned to Activant’s thesis areas and investment criteria. Lead and support due diligence process, by developing financials models, writing investment memos and presentations; guide opportunities through investment process. Support execution of investment transactions. Collaborate with portfolio companies through ongoing communication, thought partnership, impactful introductions, hands-on problem solving, review of operating results, and development of relevant board materials. Represent Activant at external events, conferences, meetups, and forums; foster authentic relationships to grow Activant’s ecosystem of experts, executives, industry influencers, and portfolio companies – both existing and prospective. Make improvements to proprietary data science platform and implement new tools to increase internal efficiency.
Job Requirements:
Master’s degree in Computer Science, Data Science, or related field. Experience in growth equity, private equity, investment banking, or management consulting firms. Experience with financial modeling and analysis. High level of proficiency in synthesizing information and analyses to build investment cases and presentations. Knowledge of Python, SQL, Typescript, Machine learning/AI, Data Engineering, and Capital IQ.