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

BIT Capital

2d•Remote

About The Position

As our Equity Research Analyst - Semiconductors, you will own the coverage of semiconductor companies that power the AI buildout, contributing original theses to a concentrated, high-conviction portfolio. Your scope will primarily focus on semiconductors but will expand with your insights into adjacent areas. You will report to Ingo Lupatelli, our Portfolio Manager and Director of Research, and are expected to work autonomously from Day 1. This role involves conducting bottom-up fundamental research on semiconductor companies globally, including chipmakers, equipment, materials, memory, and related hardware. You will be responsible for news and data monitoring, surfacing and defending alpha opportunities before consensus, and decomposing business models to build tailored financial models. A key aspect of this role is integrating alternative data, AI, and quantitative capabilities into your research process to discern real signals from noise and connect them to the P&L. You will also cultivate relationships with sector experts and management teams to convert conviction into sized positions within the portfolio.

Requirements

2+ years researching investments in the semiconductors sector, on the buy-side or in a research-heavy environment (equity research, private equity, or investment banking).
A track record of differentiated investment writing: a contrarian view you sized and defended under pushback, ideally a thesis you can point to.
Comfortable with alternative datasets and basic data tools (Python or SQL).
A strong academic record in a technical field such as Engineering, Computer Science, Physics, or Mathematics.

Nice To Haves

Understanding of the semiconductor industry at both a technical and a business level.
Adjacent coverage of batteries or consumer devices is a plus.
Fluency with semiconductor cycles or Asian and Chinese names is a bonus.

Responsibilities

Run bottom-up fundamental research on semiconductor companies worldwide: chipmakers, equipment, materials, memory, and the hardware stack around them.
Own news and data monitoring across your sectors, surfacing and defending alpha opportunities before consensus.
Decompose business models from first principles (Volume x Price x Mix x Margin) and build models tailored to each sub-sector's economics.
Make our alternative data, AI, and quantitative capabilities integral to your research: know when a signal is real, when it is noise, and how it ties back to the P&L.
Cultivate relationships with sector experts and management teams, and convert conviction into sized positions in the book.