Senior VC Research Analyst

About Arcanis:

Arcanis is a research and investment firm focused on deep state-of-the-art data collection and complete insight research automation for Growth and Late-Stage VC.

We replace intuition and gut feeling with provable science through VC full-cycle investment process powered by our proprietary tools and our up-to-date database of Growth and Late Stage companies:

• Deep Research:a standardized, scalable methodology for VC company research, utilizing state-of-the-art automation from the initial deal draft to expert-level insights ready for Investment Committee review portfolios/strategies for Asset Managers, large LPs, and small and medium VC funds with actionable improvement
• Systematic Strategies:development of GLS VC strategies with long-term advisory support, offered in a white-label or revenue-sharing model
• Benchmarking and Monitoring: real-time, actionable performance evaluations and risk assessments, enabling asset managers, LPs, and VC funds to track and optimize their portfolios effectively.

As a relatively young company with a technology-first approach, we've already achieved strong results based on feedback from both current and prospective clients. Although our initial clients are primarily based in Geneva and occupy much of our current capacity, we have a clear automation roadmap that will enable us to scale globally once our solution is stabilized.

Position Overview:

TheSenior Analystat Arcanis plays a crucial role in connecting data experiments, developing new methodologies, automating them with the IT team, and standardizing research processes. Additionally, the Senior Analyst will build the research team’s capacity to meet growing demand.

We are looking for a mature, systematic thinker who is fast on their feet, creative yet grounded in common sense, and with a good sense of humor.A strong background in mathematicsis essential to avoid feeling overwhelmed by complex analytical concepts like Fourier functions or statistical modeling.

The ideal candidate will be able to assemble complex yet robust analytics mechanisms from simple, understandable components. Experience with data and software engineering is necessary to grasp key concepts required for enterprise-level solutions.

A solid understanding of venture capital markets is highly preferred, and experience with enterprise-level LLMs is also required. The role involves leading and organizing the research team, directly reporting to the managing partner, and regularly interacting with internal stakeholders.

Qualifications:

• 5+ years of experience infinancial analysiswithin later-stage venture capital or private equity.
• Bachelor’s degree or higher inMathematics, Cybernetics, Data Science, or a related field.
• Strong leadership and team management skills, with a proven ability to foster collaborative, high-performing teams.
• Proficiency in data analysis tools (Excel, Python, SQL); experience with AI-driven research methodologies is a significant plus.
• Deep understanding of venture capital research and decision-making processes.
• Excellent communication skills, both written and verbal, with the ability to present complex data and insights.
• Fluency in English is required.