(Senior) Equity Research Analyst - Semiconductors (m/f/d)

Across our funds, we hold meaningful exposure to the hardware backbone of the AI buildout: the chips powering data centers and edge devices. As our (Senior) Equity Research Analyst - Semiconductors (m/f/d), you own that coverage and contribute original theses to a concentrated, high-conviction portfolio, extending our reach in pure-play names before consensus catches up. The scope centers on semiconductors but grows with your insights into adjacent areas: AI compute infrastructure, networking and optical connectivity. You report to Ingo Lupatelli, our Portfolio Manager and Director of Research, and work autonomously from Day 1.

Your priorities will include:

• Coverage & research. Run bottom-up fundamental research on semiconductor companies worldwide: chipmakers, equipment, materials, memory, and the hardware stack around them.
• Asymmetric returns. Surface ideas before consensus, then research, pitch, and defend concentrated, high-conviction positions, carried through to a decision and measured by the alpha they generate.
• Quantamental innovation. Combine fundamental judgment with our proprietary alternative data and, alongside our quant team, advanced ML and AI to build actionable models.
• Financial modeling. Decompose business models from first principles (Volume x Price x Mix x Margin) and build valuations tailored to each sub-sector's economics.
• Networks & conviction. Cultivate relationships with sector experts and management teams, and convert conviction into sized positions.

• You understand the semiconductor industry at both a technical and a business level; adjacent coverage of batteries or consumer devices is a plus.

• You have 2+ years researching investments in a relevant sector, ideally semiconductors, on the buy-side or in a research-heavy environment (equity research, private equity, or investment banking).

• You have a track record of differentiated investment writing: a contrarian view you sized and defended under pushback, ideally a thesis you can point to.

• You are comfortable with alternative datasets and basic data tools (Python or SQL); fluency with semiconductor cycles or Asian and Chinese names is a bonus.

• You hold a strong academic record in a technical field such as Engineering, Computer Science, Physics, or Mathematics.

• You prefer to conduct public equity research at a steady, deliberate pace. We move fast, with daily idea flow, thesis check-ins, and deep dives when the data moves, so you form and revise views quickly.
• You like to wait for full consensus before acting. We size positions on conviction and real insight, not crowd validation.

• You are passionate about technology, public-market investing, and the businesses behind the products.
• You operate by first principles: you decompose a thesis into its drivers, rebuild it from observable inputs, and treat being proven wrong by data as learning, not defeat.
• You are an "AI Native" who makes AI and quantitative tools standard infrastructure in your research.
• You are intellectually rigorous: you stress-test assumptions and seek disconfirming evidence to form an independent view.
• You are self-driven and entrepreneurial, in it for the long term, where logical argument outweighs hierarchy.

• Become part of a unique success story in European asset management, with real influence over a concentrated, high-conviction portfolio.
• Work with terabytes of data, advanced research tools, and proprietary alternative data you will not find at traditional asset managers.
• A motivated, international team of 15 nationalities with flat hierarchies and direct access to our management team and investors.
• Day 1 ownership of challenging, varied work, a steep learning curve, and a transparent, appreciative feedback culture.
• Competitive compensation with a meaningful variable component tied to fund performance, plus relocation and visa support if needed.