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BIT Capital seeks an Equity Research Analyst - Semiconductors (m/f/d) to own coverage of chipmakers, equipment, materials, and the hardware stack. You will develop original theses and contribute to a concentrated, high-conviction portfolio while expanding the reach into adjacent areas.
You will perform bottom-up fundamental research, build models, monitor data signals, and defend alpha ideas. Report to the Portfolio Manager and Director of Research, working autonomously from Day 1.
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 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. You report to Ingo Lupatelli, our Portfolio Manager and Director of Research, and work autonomously from Day 1.
BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company. With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world. The guiding principle is always to be “Ahead of the Curve\" - anticipating technology mega trends and identifying the major investment opportunities of the future before they emerge. The BIT Capital team expertly navigates a constantly evolving landscape of complex technology sectors, identifying tomorrow's technology leaders at an early stage on behalf of its investors. The experienced team currently consists of around 40 professionals, including an investment team of 20 financial market experts, sector specialists, data engineers and software developers. The flagship fund, BIT Global Technology Leaders, has received multiple performance awards and is one of the highest performing equity funds in Europe.
As part of our recruitment process, we use digital tools that incorporate AI-supported functionalities to structure and review application materials and to support the selection process. The results are used solely as support for the initial screening and are always reviewed by responsible personnel. Decisions regarding an offer of employment or a rejection are not made solely by automated means.