cybergeekgyan/Quant-Developers-Resources resource
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds observed · 2026-08-28
Health v2 · maintenance only
71/100
- Activity 97
- Release rhythm 35
- Longevity 75
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1052
- days_rel: n/a
- days_push: 18
- n_releases_24m: 0
Adoption not part of the score
3718 stars · 447 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated collection of resources for preparing for quantitative developer, researcher, trader, and analyst interviews at quant trading firms, HFTs, and hedge funds. It covers interview processes, key topics like probability, stochastic calculus, option pricing, and portfolio theory, plus programming and data science material.
Use cases
- prepare for quant developer interview
- study for quantitative researcher role at a hedge fund
- find resources for quant trader interview questions
- learn option pricing and greeks for interviews
- review probability and stochastic calculus for quant roles
- prepare for HFT firm hiring process
- find algorithmic trading learning materials
When to choose
- you are interviewing for quant developer, researcher, trader, or analyst roles
- you want a curated topic checklist for quant finance interviews
- you need a starting point covering math, finance, and programming for quant careers
When to avoid
- you need executable trading software or backtesting code rather than study material
- you want a formal course or textbook with structured lessons
- you need production-grade quantitative finance libraries
Facets
learning-resource · maturity active
trading developer-tools fintech tutorials education cross-platform quant-finance interview-preparation awesome-list hedge-funds hft algorithmic-trading study-guide
2 sources
- readme: https://github.com/cybergeekgyan/Quant-Developers-Resources · fetched 2026-08-28 · a7aab83ccac0
- homepage: https://cybergeekgyan.github.io/Quant-Developers-Resources/ · fetched 2026-08-29 · db799a24b2c0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| cybergeekgyan/Quant-Developers-Resources | main | 71 |
For agents
markdown · JSON · MCP: product_card(name="cybergeekgyan/Quant-Developers-Resources")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem