Atlas Peak Research delivers institutional-quality TMT equity research powered by AI and human expertise.
Our platform provides real-time earnings intelligence, company analysis, and options insights to professional investors.
We're building the future of equity research — and we're hiring.
Why Atlas Peak?
We're building AI-augmented research at the intersection of fundamental analysis and cutting-edge technology. This isn't a traditional finance job — it's a chance to shape how institutional investors consume research. We're a small, fast-moving team in the Flatiron District. You'll work directly with the founder, use cutting-edge AI tools daily, and see your work reach professional investors in real time. Zero bureaucracy, high impact.
You'll work directly with Avi Mehra, founder and portfolio manager, building research tools and analysis that reaches institutional investors in real-time.
What We Offer
Direct access to the founder and PM — no layers of bureaucracy
Daily use of cutting-edge AI research tools (Claude, GPT, Bloomberg)
Exposure to live portfolio decisions and institutional research standards
Competitive compensation commensurate with experience
Small team, high-impact environment in the Flatiron District
Benefits
Competitive base salary + performance bonus
Health, dental, and vision insurance
Unlimited PTO
401(k) plan
Learning and conference budget
Latest hardware and AI tool subscriptions
Open Positions
Summer Research Intern — TMT
📍 Flatiron, Manhattan, NYC · In-person
Internship (10–12 weeks) · Current undergraduate junior/senior or graduate student
💰 $30/hr – $40/hr
Spend your summer embedded in a real investment research operation. Work directly alongside the founder and portfolio manager on live TMT equity research during one of the busiest earnings cycles of the year. Strong interns will be considered for a full-time offer upon graduation.
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What You'll Do:
Assist in building and updating financial models for TMT coverage names
Help produce earnings previews, post-earnings debriefs, and company briefing packs
Conduct industry research — gather data, read filings, track competitive dynamics
Learn and contribute to AI-augmented research workflows using Python and generative AI tools
Screen options flow data for unusual activity and outlier patterns
QA AI-generated research output for accuracy and investment relevance
Build small tools and scripts to automate parts of the research process
Present findings and investment ideas to the PM
Requirements:
Currently enrolled in a Bachelor’s or Master’s program in Finance, Economics, Engineering, CS, or related field (graduating 2026–2027)
Strong academic record
Genuine interest in public equities, the TMT sector, and financial markets
Solid fundamentals in accounting and corporate finance
Comfortable with Excel — can build a model, not just read one
Some programming experience, ideally Python
Available full-time in-person in Manhattan for 10–12 weeks starting June 2026
Work directly with the founder and portfolio manager to produce and refine equity research across the TMT sector — semiconductors, networking, cloud infrastructure, software, and adjacent verticals. A hybrid role blending traditional fundamental research with AI-driven tooling.
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What You'll Do:
Build and maintain detailed financial models (DCF, comps, sum-of-parts, scenario analysis) for TMT coverage names
Analyze quarterly earnings, guidance, and management commentary in real-time during earnings season
Write and edit investment-grade research notes, earnings previews, and post-earnings debriefs
Monitor industry trends, supply chain dynamics, and competitive positioning across TMT sub-sectors
Track and interpret options flow, unusual activity, and implied volatility patterns
Develop and refine AI-driven research workflows using Python and generative AI tools
QA AI-generated output for accuracy, completeness, and investment relevance
Requirements:
2–4 years in TMT investment banking, equity research, or at a fundamental equity hedge fund
Strong financial modeling skills — can build a 3-statement model from scratch
Working knowledge of the TMT landscape — semiconductor cycle, hyperscaler capex, cloud, networking/optical, enterprise software
Proficiency in Python for data analysis and automation
Familiarity with generative AI tools (GPT, Claude, or similar)
Excellent written communication
Bachelor’s degree in Finance, Economics, Engineering, Computer Science, or related field
