Skip to main content
Glama
Kav-png

quantjobs

by Kav-png

QuantJobs

A terminal app for hunting quant roles and managing a tailored LaTeX CV — with a Claude MCP server so you can drive the whole thing in conversation.

It does four things:

  1. Finds jobs — scrapes stable public job boards (Greenhouse/Lever) for London quant roles, or lets Claude web-search and ingest jobs for you via MCP.

  2. Scores & curates — a fit score (0–100) per job, bucketed into Strong match / Stretch / Long shot, plus star ★ and archive. The scorer is deliberately optimistic about skills you're learning, so genuine stretch roles surface instead of being filtered.

  3. Builds your CV — generates a LaTeX → PDF CV from a single source of truth (profile.yaml), either as your base CV or tailored to a specific job. Tailoring only reorders and selects your real experience — it never invents anything. If a job wants a skill you don't have, it adds a pending project (with an honest time estimate) and flags the skill to learn instead of fabricating a bullet.

  4. Spots trends — aggregates skill demand across the jobs you're tracking and flags the in-demand skills you're missing (e.g. "C++ in 20% of roles — learn it").

the TUI


Setup

Prereqs: uv and a LaTeX engine (latexmk/xelatex, e.g. MacTeX or BasicTeX — already on this machine).

uv sync
uv run quantjobs init     # create the DB + seed your CV profile
uv run quantjobs scrape   # pull London quant jobs from the configured firms
uv run quantjobs          # launch the TUI

Data (DB, your editable profile.yaml, generated CVs) lives in ./data/ by default. Override with QUANTJOBS_HOME=/some/path.


Related MCP server: JobSpy MCP Server

The TUI

uv run quantjobs opens the dashboard. Left = job list, right = detail (fit %, the skills you have vs miss, and the job description).

Key

Action

Key

Action

/

search (Enter apply, Esc clear)

t

skill trends screen

s

star / unstar

p

pending projects screen

a

archive

k

skills gap screen

g

generate tailored CV for this job

y

your skills profile

o

open the last generated CV (PDF)

f

cycle filter (active/★/strong/stretch/all)

R

run the scrapers

r

reload · q quit


CV management

Your CV is defined entirely by data/profile.yaml (seeded from your current CV). Edit it to change anything. The LaTeX template is quantjobs/cv/template.tex — drop your own .tex into data/template.tex to override it.

uv run quantjobs cv --base                      # your standard CV
uv run quantjobs cv --job 42 --stretch aggressive --open

--stretch (conservative | balanced | aggressive) controls how hard the tailoring leans into reach roles: it reorders bullets/skills to surface what the job asks for, and in aggressive mode selects the strongest few bullets per role. It never adds experience you don't have — missing skills become pending projects + flags. Generated CVs land in data/output/. The template is a dense one-page modern-sans design (Helvetica Neue via xelatex).

Building a CV is best done as a conversation through the MCP (below): Claude drafts a tailored CV for a job, you refine the bullets/order/summary together, then render — see cv_draft_* tools.


Adding job sources

Edit quantjobs/scrapers/firms.yaml (or data/firms.yaml to override). A firm's Greenhouse/Lever token is the slug in its careers URL:

location_filter: London      # applied to every firm; set "" for all locations
firms:
  - {name: Jane Street, type: greenhouse, token: janestreet}
  - {name: DRW,         type: greenhouse, token: drweng}
  - {name: Some Fund,   type: lever,      token: somefund}
uv run quantjobs scrape --list                  # show configured sources
uv run quantjobs scrape --source "Jane Street"  # one firm
uv run quantjobs trends                          # skill demand + flags to learn
uv run quantjobs gap                             # missing skills + suggested projects

eFinancialCareers HTML scraping is included as a best-effort fallback (--source efc) but the robust paths are the JSON boards above and Claude-driven ingestion below.


Talk to it: the Claude MCP server

Register the server so Claude can search, analyse and act on your job DB in conversation:

claude mcp add quantjobs -- uv run --directory "$(pwd)" quantjobs-mcp
{
  "mcpServers": {
    "quantjobs": {
      "command": "uv",
      "args": ["run", "--directory", "/absolute/path/to/quantjobs", "quantjobs-mcp"]
    }
  }
}

Note: Claude Desktop may not inherit your shell PATH; if CV compilation fails, ensure /Library/TeX/texbin is on PATH for the server process.

Then just ask Claude things like:

  • "Find London quant-developer roles and add them" → web search → add_jobs

  • "What in-demand skills am I missing?"analyze_trends + skills_gap_report

  • "Which firms are hiring for C++?"run_query (read-only SQL over the DB)

  • "Star 42 and add a pending project to learn kdb+"star_job + add_pending_project

  • "I finished the order-book project — mark C++ as a skill I have"add_or_update_skill

Build a CV conversationally (the recommended way):

"Build my CV for job 107"cv_draft_create (Claude shows the proposed summary, the selected/reordered bullets, and the skills) → "tighten the second UBS bullet and lead with the ML one; drop the Excel bullet"cv_draft_update (re-shows) → "render it"cv_draft_render → PDF. Drafts persist between messages, so you can iterate. Claude only rephrases your real experience (same facts/metrics) — it never invents anything.

29 tools are exposed. run_query is restricted to a single read-only SELECT/WITH on a read-only connection, so Claude can freely explore patterns without being able to mutate data except through the explicit, audited tools.

Useful tables for run_query: jobs, job_skills(job_id, skill), skills_profile, pending_projects, skill_flags, cv_versions, saved_searches.


Development

uv run pytest            # test suite
uv run ruff check .      # lint

Layout: core data layer (db, repo, models, ingest, fit), cv/ (template + generator + compile), scrapers/, analysis/ (trends, skills gap), tui/, mcp_server/.

F
license - not found
-
quality - not tested
C
maintenance

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Kav-png/quantjobs'

If you have feedback or need assistance with the MCP directory API, please join our Discord server