Pay
$100/hr
The rate in the listing.
?
From the Ethos listing, checked Nov 5.
Listed
Today
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How Ethos hiring works
Your application is a 10-minute call.
Ethos's AI interviewer asks about your career, then matches you to projects like Investment Research Analyst. Keep your CV open and walk through the roles and skills that fit this work.
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About this role
From the Ethos listing
About This Opportunity
We're working with a leading foundational AI lab to find experienced investment research analysts from top banks and independent research firms who can help train their latest language model on professional presentation and slide deck tasks.
We're looking for analysts with 3+ years covering a sector at a sell-side or independent research firm to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: initiation report exhibits, earnings preview and review slides, industry primer decks, thesis one-pagers, valuation summary pages, and marketing decks for investor meetings.
Compensation
$100/hour
Commitment:
Flexible, 5-20 hours per week (or more if desired)
Location:
Fully remote, work on your own schedule
Start date:
ASAP
Qualifications
3+ years in equity research at a recognized sell-side or independent firm
Deep expertise in valuation exhibits, industry analysis, and investment thesis communication
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
How long hiring takes
Across the platforms we list, people typically hear back about a hire within
about
25 days
of applying.
Within 2 weeks
~30%
Within 6 weeks
~65%
Within 3 months
~85%
Prepare for the Ethos call
Ethos's AI interviewer asks about your Investment Research Analyst background. These are our own practice questions for that work, not Ethos's.
How do you determine which valuation method, like discounted cash flow versus comparable company analysis, is most appropriate for a given company?
DCF works best for companies with predictable, modelable cash flows, since it's sensitive to assumptions that are hard to justify for volatile or early-stage businesses. Comparable company analysis is more reliable when there's a solid set of similar public companies to benchmark against. I typically triangulate across both rather than relying on a single method, and I weight them based on which assumptions are most defensible for the specific company.
What red flags do you look for in a company's financial statements that might indicate earnings quality issues?
I watch for a growing gap between reported net income and operating cash flow, unusual increases in receivables relative to revenue growth, frequent one-time or non-recurring adjustments that keep recurring, and changes in accounting policy that conveniently improve reported metrics. Any one of these alone isn't necessarily a problem, but multiple signals together warrant a closer look.
How do you incorporate macroeconomic factors like interest rate changes into a company-specific valuation?
Interest rates flow into a DCF primarily through the discount rate, but I also consider second-order effects like how rate changes affect the company's cost of capital, consumer demand if it's rate-sensitive, and competitive dynamics within its sector. Treating rate changes as only a discount rate adjustment misses the operational impact that often matters more for cyclical businesses.
How do you build conviction in an investment thesis when the available data is incomplete or the company is in an emerging sector?
I lean more heavily on qualitative diligence, like management track record, competitive positioning, and unit economics at the segment level, when historical financial data is limited. I also stress-test the thesis against multiple scenarios rather than a single base case, since incomplete data means the range of plausible outcomes is wider and the analysis needs to reflect that uncertainty explicitly.
See all 10 Investment Research Analyst interview questions â
Skills and categories
More jobs in these fields:
Business
High-Pay ($100+/hr)
No Degree Required
Finance
Business & Strategy
Expert
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Common questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi-week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI-lab engagements, where you write or review expert material for a model.
Do I need to keep applying for projects on Ethos?
No. When your profile is live, Ethos matches you to new projects from your career history, so companies find you. Each finished project raises your Expert Score, which brings you better-paid work.
How many hours a week is this Investment Research Analyst work?
Between 5 and 20 hours a week. At $100/hr that is $500 to $2,000 a week. You set your own hours.
What experience does this Investment Research Analyst listing ask for?
The listing asks for 3+ years in equity research at a recognized sell-side or independent firm; deep expertise in valuation exhibits, industry analysis, and investment thesis communication; and expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail. Ethos's interviewer builds your profile from your CV, so have the roles that show this ready to talk through.
How much does this specific role pay?
This listing is posted at $100/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.
What happens when I click Apply on this listing?
The link opens Ethos's sign-up. There is no form for this listing: Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.
Who built Ethos and is it legitimate?
Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn't affect your pay or the projects you're offered.
$100 per hour
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