6-Month Quant + Rust Developer Roadmap This roadmap is designed for ambitious developers aiming to become job-ready Quant + Rust Developers targeting Job within 6 months.
Month 1 — Rust + Math Fundamentals
Week
Focus
Tasks / Projects
1
Rust Basics
Read The Rust Programming Language Chapters 1–4, practice ownership, borrow, structs, enums
2
Rust Intermediate
Generics, traits, error handling, collections; implement sorting/search algorithms
3
Quant Math
Probability, statistics, linear algebra; simulate dice rolls, coin flips in Rust
4
Mini Project
Monte Carlo simulation in Rust (simulate stock price paths)
Month 2 — Quant Finance Foundations
Week
Focus
Tasks / Projects
5
Market Basics
Learn stocks, options, futures, crypto; understand order books and arbitrage
6
Time Series Analysis
Moving averages, RSI, MACD; fetch historical data with Python/pandas
7
Portfolio Theory
Mean-variance, Sharpe ratio, CAPM; implement simple backtesting in Python
8
Mini Project
Backtesting Engine: Python or Rust, implement one strategy with historical data
Month 3 — Rust for High-Performance Trading
Week
Focus
Tasks / Projects
9
Rust Concurrency
Learn tokio, rayon, async streams; implement concurrent data fetch
10
Networking & APIs
Rust WebSocket + REST clients; fetch live crypto or stock prices
11
Performance Optimization
Benchmark Rust code, memory management, optional SIMD basics
12
Mini Project
Rust Market Data Streamer + real-time metrics dashboard
Month 4 — ML & AI for Quant
Week
Focus
Tasks / Projects
13
ML Basics
Regression, classification, scikit-learn, PyTorch basics
14
Feature Engineering
Use technical indicators as ML features for prediction
15
Model Integration
Train model to predict next-day returns; test on historical data
16
Mini Project
Rust + Python integration: expose ML predictions via Rust API
Month 5 — DeFi / Crypto + Advanced Quant Systems
Week
Focus
Tasks / Projects
17
Rust Smart Contracts
Learn Solana or Near basics; write & deploy small contract
18
On-chain Data
Fetch token prices, DEX liquidity, or historical trades using APIs
19
Trading Bots
Implement auto-trading bot simulation in Rust
20
Mini Project
AI-powered crypto arbitrage bot (simulate on testnet)
Month 6 — Portfolio + Job Prep
Week
Focus
Tasks / Projects
21
Portfolio Building
Polish 3–4 projects; write clear GitHub READMEs
22
Technical Writing
Publish blogs/tutorials: “Rust + Quant Project Showcase”
23
Networking & Interviews
Practice LeetCode (Rust + Python), quant math puzzles, connect with prop trading / DeFi companies
24
Mock Interviews & Applications
Apply to HFT, fintech, DeFi quant roles; send portfolio + projects
Extra Tips
Daily Goal: 4–6 hrs (2 hrs theory, 2 hrs coding, 1 hr reading research/tutorials, 1 hr writing/documenting).
Portfolio: Must include Rust + ML + Quant projects — top recruiters check proof of work.
Networking: Join Discord communities for Rust, Quant, Solana; share projects on LinkedIn.
Certifications (Optional):
Rust Programming (Exercism)
DeepLearning.AI Generative AI (Coursera)
Solana / Alchemy bootcamps