AI Equities Analyst
8000 - 8500 SGDLUMINOUS ASSET MANAGEMENT PTE. LTD.
About the Role
We are a lean, high-conviction investment firm focused on the global AI hardware and infrastructure ecosystem — investing across US technology leaders, Taiwanese foundries and packaging houses, Japanese semiconductor equipment suppliers, and South Korean memory manufacturers.
We're hiring an AI Equities Analyst to be our in-house technical expert — someone who can sit through an earnings call and immediately spot what matters, and who can translate a research paper or a fab capacity announcement into an investment thesis.
No prior finance or investment experience is required.
We'll teach you financial modeling, valuation, and how buy-side research actually works. What we cannot teach as quickly is genuine technical fluency — that's what you bring on day one.
Why This Role Is Different
• Direct access, real ownership. You'll work side-by-side with the Portfolio Manager, not buried in a large research team. Your read on a technology shift can move the portfolio the same week.
• A built-for-you path into buy-side investing. Most technical experts who want to move into investing take a pay cut, go back for an MBA, or spend years in a generalist analyst pool first. This role skips all three.
• Small firm, real scope. You'll cover the full AI hardware value chain — from silicon to systems to model architecture — across four markets, not a narrow sub-sector.
Who We're Looking For
2–3 years of hands-on industry experience in at least one of:
• Silicon & Hardware Systems Engineering
• Data Center & Infrastructure Engineering
• AI Model Architecture & Algorithmic Research
• Technology Evaluation & Market Intelligence (e.g., technical product management, competitive intelligence, developer relations)
If you've spent your career close to the technology — writing the code, designing the silicon, running the infrastructure, or evaluating vendors — and you're curious what that expertise is worth on the buy-side, this role is written for you.
What You'll Do
• Decode the technology. Be the team's go-to translator for hardware announcements, model architecture papers, product roadmaps, and trade press across the AI value chain.
• Separate signal from hype. Assess shifts like advanced node transitions, packaging constraints, liquid vs. air cooling, custom ASICs vs. GPUs, Mixture-of-Experts, quantization, and inference optimization — and judge what's technically real and economically meaningful.
• Track the ecosystem. Follow industry research, trade publications, AI lab and software updates, and earnings transcripts to map supply-demand trends, component lead times, and software lock-in dynamics.
• Shape portfolio decisions. Partner directly with the Portfolio Manager to explain why a shift matters, which companies hold durable technical moats, and where bottlenecks will redirect industry revenue.
Qualifications
• Education: Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, Physics, Materials Science, Data Science, or a related STEM field.
• Experience: 2–3 years of hands-on work in semiconductors, hardware engineering, data center infrastructure, AI model development/research, or technical market research.
• Curiosity & Communication: A genuine passion for AI hardware and software, and the ability to explain technical concepts in plain, intuitive language.
• Nice to have: Ability to read technical materials or trade press in Mandarin, Japanese, or Korean — useful for tracking APAC supply chain news firsthand.
Compensation& Growth
• Base salary from S$8,000/month — with flexibility for candidates who bring exceptional depth or a rare skill match —plus performance-linked annual bonus.
• A funded, direct transition into buy-side equity research. No pay cut, no MBA required.
• Flat structure. You'll work directly with the Portfolio Manager from day one, with your analysis feeding real investment decisions — not a research queue.
How to Apply
Submit your CV along with a one-page write-up on one technical trend in AI hardware, data center infrastructure, or AI model architecture from the past 12 months that you find genuinely interesting — and why. No cover letter or finance resume needed. Email to View email address on mycareersfuture.gov.sg
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