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The role involves conducting research and analysis on software and technology companies, performing due diligence, generating insights, and preparing communication materials. It requires collaboration with a team and strong analytical skills, ultimately supporting investment decision-making.

Lead a data operations team to ensure high-quality delivery of intelligence datasets supporting B2B software analysis, including designing workflows, setting standards, and enhancing processes for data accuracy.

Manage investment research and data product development, mentor a team, conduct due diligence on tech companies, and communicate insights to stakeholders.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

Conduct fundamental research and strategic analysis on software and technology companies, collaborating with a team to deliver investment insights.

Conduct fundamental research on software and technology companies, perform financial analysis, and deliver impactful insights for investments while collaborating with a team of analysts.

Lead full-cycle global recruitment across functions and seniority levels, proactively source passive candidates, partner with hiring managers, define scalable hiring practices, own employer branding and ATS management (Ashby). Support strategic HR projects including onboarding, talent management, training and retention initiatives.

Make outbound calls to industry professionals to identify and engage experts for research projects, gather accurate information, record call outcomes, meet call and quality targets, and support multiple projects while collaborating with the team.

Run full-cycle recruitment across all seniorities, proactively source and headhunt candidates, partner with hiring managers, design recruitment processes and employer branding, master Ashby ATS, and support global HR projects like onboarding, talent management, and retention.

Manage and maintain databases, perform QA checks and data cleaning, coordinate project launches and workflows, organize admin tasks and resources, update SOPs, and support client deliverables to ensure data integrity and operational efficiency.