Scans job boards, grades each posting against her résumé on an A–F scale, tailors the CV, and tracks what she applied to.
GOOD FOR: quality over quantity. It drafts and ranks; a human still decides and submits.
Ten free projects, ranked by how many people have starred them on GitHub — plus the finance-specific lists that matter more than the star count suggests. Nothing here costs money, and you do not need to know how to code to use the first three.
Everything below is optional. These three cover finding the roles, finding the finance roles, and deciding which ones are worth an application.
A giant table of open internships, updated several times a day by volunteers. It has a quant column, so finance roles are already tagged.
github.com/Maintained by a student fintech club. Trading firms, hedge funds, and quant research roles that the general lists miss or post late.
github.com/Reads a posting, scores how well her résumé fits it, and drafts a tailored version. It never clicks "submit" — she stays in control of every application.
github.com/A star is GitHub's version of a bookmark. It is a rough popularity signal, not a quality guarantee — so each row also says who it is actually good for. The bars are scaled so the smaller projects stay visible — the exact number beside each one is the real figure.
Scans job boards, grades each posting against her résumé on an A–F scale, tailors the CV, and tracks what she applied to.
GOOD FOR: quality over quantity. It drafts and ranks; a human still decides and submits.
The best-known internship list on GitHub. Software, data, AI, hardware, product — and quant.
GOOD FOR: the daily check. Sort by the quant tag and apply the same week a role appears.
A job-search framework built on Claude Code: evaluate a posting, rewrite the CV for it, draft the cover letter, prep interview answers.
GOOD FOR: someone comfortable in a terminal who wants the whole workflow in one place.
The original auto-apply agent — it fills in and submits applications on its own.
GOOD FOR: understanding what auto-apply is. Read the warnings first; job sites actively block bots, and finance firms rarely use the forms it targets.
Internship and new-grad listings, refreshed every day, with salary estimates attached.
GOOD FOR: a second daily source so nothing slips through.
Summer, Fall and Spring 2027 roles. Overlaps with the Simplify list but often posts different companies.
GOOD FOR: off-cycle and spring internships, which are less competitive.
The same daily feed, filtered to AI and machine-learning roles.
GOOD FOR: quant research and trading-tech roles, which increasingly ask for ML skills.
A building block, not a finished app: it pulls listings out of LinkedIn, Indeed, Glassdoor and ZipRecruiter into a spreadsheet.
GOOD FOR: building a custom search — "investment banking intern, New York, posted this week" — instead of scrolling.
A private tracker that runs on her own computer for the whole search: what was sent, what came back, what is going stale.
GOOD FOR: replacing the spreadsheet once she is past thirty applications.
Automates LinkedIn "Easy Apply" forms.
GOOD FOR: volume roles. Least useful for finance — banks and trading firms almost never use Easy Apply.
Star counts reward general-purpose tools. These are smaller, but they are the ones a finance student would be told to bookmark.
The reference list for quantitative finance internships — trading, research, and quant dev at firms like the ones that never advertise on general job boards.
GOOD FOR: the whole point of this page. Check it twice a week from August through November.
US internships with a dedicated quant category, including off-season roles that start in January.
GOOD FOR: spring and off-cycle applications, where the competition thins out considerably.
Finance and CS exploratory programs, first- and second-year "insight" programs, diversity pipelines, scholarships and interview prep.
GOOD FOR: freshmen and sophomores. Banks recruit through these sophomore programs a full year before the real internship.
GitHub is a website where people store and share files — mostly code, but also lists like the ones above. Think of it as a shared folder with a very good history of who changed what.
Go to github.com/
Pick a username she would be comfortable putting on a résumé — recruiters in finance do look.
github.com/[username]?tab=stars .The long page of text you land on is the README. It is the instruction manual, and it is written by the author, so quality varies wildly.
The internship lists update several times a day, and the best roles close fast. Every GitHub project publishes a hidden feed of its changes. Add this link to any free RSS reader (Feedly, Inoreader) and she gets a notification the moment a new company is added:
Swap the username and project name to follow any other list on this page. This one trick is worth more than every automation tool below it.
Look for three things: when it was last updated, whether the instructions mention an API key — a password that connects a tool to a paid service — and whether the Issues tab is full of people saying it is broken. A project last touched a year ago is usually not worth the afternoon.
Tools like career-ops don't run on a website — they run on your own computer, so your résumé never leaves it. There are two routes in, depending on how much terminal she wants to see.
Claude Cowork is a desktop app built for people who aren't developers: you point it at a folder and describe what you want in plain English. Claude Code is the same idea with more control, and it also has a desktop app now — no terminal needed.
Download from claude.com/download. A paid Claude plan is required; the free tier doesn't include it.
On a Mac, open the Terminal app. On Windows, open PowerShell. Paste one line:
Then check it worked, and start it:
The first launch opens a browser window to sign in. If you'd rather install through Node.js, npm install -g @anthropic-ai/claude-code works too and needs Node 22 or newer — but the installer above is the recommended path and needs nothing else.
Once it's running, you talk to it. A real first request, worth copying as-is:
That last line matters. Keep every tool in draft mode: AI is genuinely good at reading a posting and rewriting a résumé, and genuinely bad at judging whether a firm is worth her name.
Banks and trading firms screen with HireVue, timed tests and their own portals. Bots don't get through, and firms do notice. Twenty tailored applications beat a thousand sprayed ones.
If she forks a project on GitHub (a repo — short for repository, a project folder), anything she adds — résumé, address, passwords, API keys — becomes public. Keep the folder on her computer, or set the repo to Private.
Summer 2027 quant and banking internships open from roughly July 2026 and many close by October. The lists above are the fastest way to catch a posting on day one.
Every project here is free. The AI models they call are not — expect a Claude or OpenAI subscription, roughly $20 a month, or nothing at all if she sticks to the lists and RSS.
This last part is for whoever set this page up — Samita, you can stop here. Cloudflare Pages hosts a page like this at no cost, with an address you can text to someone. Two ways, both quick.
index.html.your-project.pages.dev.From the folder holding this file:
The first command opens a browser to authorise; the second prints the live URL. To update the page later, edit the file and run the deploy command again.