Three-statement model of a real company
“How does this business actually make money?”
What they hand inA working spreadsheet model built from filings.
Early weeksPrograms / Finance & Investing
Fellowship · Finance & Investing
FinLit Fellowship (Capital Minds)
An AI-native finance fellowship with HPAIR: investing, financial analysis, fraud detection and venture strategy - with a real project defended live before a mentor panel.
Next cohort starts Sat, 21 Nov 2026 · early-bird USD 999
Decide by 11 NovCohorts of Small live cohort
Length8 weeks
Cohort sizeSmall live cohort
EligibilityGrades 8–12 (13–17)
Live sessionsSaturdays, 5:00 PM GMT+4 · 120 min (Saturdays, 9:00 AM ET · 120 min) · live on Zoom
What your child will actually do
Live, mentor-led sessions - worked problems and real output, not lectures.
1
Learn how money actually works
Markets, valuation, risk and budgeting taught through live company examples rather than definitions.
2
Analyse real companies
Read statements, build a simple model and form a view your child can justify with numbers.
3
Use AI as a research analyst
Practise AI-assisted research the way analysts now do - including spotting where the AI is wrong.
4
Investigate financial fraud
Work famous fraud cases backwards and learn the red flags professionals look for.
5
Defend a capstone project
An investment thesis, budgeting tool or venture pitch, presented and questioned by a mentor panel.
Skills your child will gain
Named, practised skills - grouped the way universities read them, tied to how each is used in this fellowship.
Thinking & analysis
How your child breaks a problem down before touching it.
- Valuation basics
Practised on live problems in every session - never taught as theory.
- Fraud and red-flag analysis
Mentors make your child justify each step out loud before moving on.
- Market and industry research
Applied to unfamiliar finance & investing material, not rehearsed examples.
Communication
Writing and speaking so an adult expert takes them seriously.
- Pitching numbers to a room
Rehearsed in front of a mentor and peers, then corrected on the spot.
Building & doing
The hands-on craft that turns an idea into a finished artefact.
- Three-statement financial modelling
Used directly on the work your child hands in across 8 weeks.
- AI tools for financial analysis
Learnt by building the real artefact, not by following a tutorial.
Projects they finish with
Sample briefs from recent cohorts - the actual work that comes out of the programme, not a syllabus.
Red-flag / fraud teardown
“What in these accounts does not add up?”
What they hand inA short analyst note listing the warning signs.
Middle weeksInvestment pitch, defended live
“Buy, hold or sell - and why?”
What they hand inA valuation deck plus a recorded pitch.
Final weekAn investment case, defended live
The fellowship ends with your child building and presenting an investment or valuation case on a real company - the work an analyst does in week one of the job.
What you end up holding
- A valuation or investment deck
- A working spreadsheet model
- A recorded pitch for the portfolio
What they'll take away
Certificate of CompletionCapstone investment thesis or venture pitchAI research workflow they keep usingMentor panel feedback
How this strengthens their university profile
The point isn't the certificate. It's the line a family can honestly write afterwards - and the artefact sitting behind it.
Before
"My child is interested in finance & investing."
Nothing an admissions officer can check.
After FinLit Fellowship (Capital Minds)
"My child completed FinLit Fellowship (Capital Minds) and finished an investment case, defended live."
A line with an artefact behind it.
Why this fellowship counts
Depth. A fellowship is the spine of a profile - several weeks with one mentor, one field and one finished piece of work at the end. This is what turns "interested in medicine" into evidence.
Commercial literacy - a child who can read a business, not just say they like finance.
What a university can verify
- A valuation or investment deck
- A working spreadsheet model
- A recorded pitch for the portfolio
- A finished capstone or research piece
- Mentor feedback in writing
Upcoming cohorts
Starting soon
Sat, 21 Nov 20268 weeks · Grades 8–12Batch 2
Saturdays, 5:00 PM GMT+4 · 120 min(Saturdays, 9:00 AM ET · 120 min)
Sat, 13 Feb 20278 weeks · Grades 8–12Batch 3
Saturdays, 5:00 PM GMT+4 · 120 min(Saturdays, 9:00 AM ET · 120 min)
Sat, 22 May 20278 weeks · Grades 8–12Cohort 5 · May 2027
Saturdays, 5:00 PM GMT+4 · 120 min(Saturdays, 9:00 AM ET · 120 min)
Sat, 21 Aug 20278 weeks · Grades 8–12Cohort 6 · Aug 2027
Saturdays, 5:00 PM GMT+4 · 120 min(Saturdays, 9:00 AM ET · 120 min)
Session times shown in Dubai time (GMT+4) with US Eastern alongside. Fees are correct at time of publishing - confirm on the programme page.
Delivered in partnership with HPAIR
Mentors come from the Harvard Project for Asian and International Relations network and from finance itself, so the standard for the final defence is set by people who do this professionally.
Parents usually ask
Does my child need maths beyond school level?
No. Comfortable arithmetic and curiosity are enough; the modelling is taught step by step.
Is this about picking stocks?
No. It is about reasoning with financial evidence - which is what universities and employers actually value.
How long is each session?
Two hours on Saturdays across eight weeks, with light preparation between sessions.
Families looking at this also consider
📈 CompetitionWolves of Wall Street CompetitionA 12-week global stock market simulation: build a portfolio, craft a professional investment pitch and compete for prizes.Grades 8–12 · from 24 Oct📈 CompetitionFinlit - The Next Generation Finance ChallengeThree weekends. One brief. Use AI to design, model and pitch a real financial solution to industry judges.Grades 5–12 · from 26 Dec📈 CompetitionFinlit - The Junior Venture Challenge at Kings’ School Al BarshaStudents in years 7-9 master financial literacy by managing a virtual fund and presenting their strategy under Harvard student mentorship.Grades 6–8 · from 1 Feb
USD 999USD 1,200Early bird · next cohort 21 Nov