Undergraduate degree required; finance, economics, data science, computer science, or other quantitative backgrounds are preferred1 to 7 years of experience; investment banking, private equity, real assets, or highly analytical roles are strongly preferredDemonstrated financial modeling proficiency: DCF, IRR and MOIC, scenario analysis, sensitivity tables, and clean model hygieneStrong applied AI capability, using tools like Claude, ChatGPT, or similar as a working tool to improve speed and qualityPython or scripting ability sufficient to automate reporting workflows and build repeatable data processesAdvanced Excel skills, including structured modeling, pivot tables, and strong file organizationStrong communication skills and ability to translate analysis into clear takeawaysHigh attention to detail, strong ownership mindset, and ability to work independentlyComfortable with fast feedback loops, high expectations, and prioritizing what matters most. Identify recurring manual workflows and design automation solutions that reduce cycle time and improve reliabilityBuild and maintain automated templates for reporting, portfolio summaries, and dashboardsUse AI tools as a daily driver (not experimentation) for analysis, drafting, synthesis, and process acceleration, with sound judgment and human reviewDevelop lightweight data pipelines and scripts (Python preferred) to clean, transform, and reconcile data for modeling and reportingLeverage low-code automation tools (Zapier, Make, Notion automations, or similar) where appropriate to connect systems and eliminate repetitive tasksDocument tools and workflows, maintain version control, and ensure solutions are transferable across the team.