Quantitative Jobs in Web3

346 jobs found

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Job Position Company Posted Location Salary Tags

Blockhouse

New York, NY, United States

$122k - $150k

BULK Labs

Remote

$200k - $400k

Usbank

Charlotte, NC, United States

$111k - $131k

Jito Labs

United States

$84k - $150k

Perena

New York, NY, United States

$72k - $112k

Kronosresearch

Remote

$84k - $156k

Kronosresearch

Remote

$67k - $105k

Icon Trading

New York, NY, United States

$150k - $500k

Falconx

Remote

$84k - $100k

Syndr

Delhi, India

$64k - $72k

Gsrmarkets

New York, NY, United States

$150k - $200k

Kronosresearch

Remote

$64k - $72k

Kronosresearch

Remote

$89k - $106k

Binance

Taipei, Taiwan

Keyrock

London, United Kingdom

$72k - $77k

Blockhouse
$122k - $150k estimated
New York New York City United States
Apply

Crypto Quantitative Developer Intern – Execution Infrastructure

Location: New York, NY (In-Person, 5 Days/Week)
Company: Blockhouse
Job Type: Full-Time Internship (Start Immediately, Through December)


About Blockhouse

Blockhouse is building intelligent execution algorithms for institutional traders. Our platform combines market microstructure modeling, machine learning, and real-time signal generation to minimize slippage and improve execution quality across equities, crypto, and fixed income markets.

We’re now expanding our crypto execution capabilities and are looking for a Crypto Quantitative Developer Intern to help us deepen our connectivity, improve latency, and integrate execution logic directly with DeFi and CEX platforms.

Role Overview

This is a hands-on infrastructure and trading systems role focused on crypto-native development. You’ll be building the core components that power our crypto execution stack, including exchange connectivity, blockchain-based data ingestion, and real-time trading simulations.

The ideal candidate is comfortable working with Rust, has previous blockchain development experience, and has previously connected to centralized and/or decentralized exchanges, built crypto data feeds, or developed on-chain tooling.

What You’ll Do

  • Connect directly to CEXs and DEXs via REST/WebSocket/FIX APIs (e.g., Coinbase, Binance, dYdX, Hyperliquid, Uniswap, Jupiter) and build resilient execution pipelines

  • Build real-time data ingestion systems for blockchain-based assets, including order book snapshots, swaps, funding rates, and mempool monitoring

  • Implement performance-critical components in Rust, and integrate with our Python-based research stack

  • Develop backtesting frameworks for crypto-specific market conditions including perpetual funding dynamics and on-chain slippage

  • Work with event-driven systems like Kafka to simulate and evaluate real-time trading scenarios

  • Collaborate with quant researchers to deploy production trading strategies into live crypto markets

  • Contribute to smart order routing logic, venue selection algorithms, and execution benchmarking tools

  • Use AWS (EC2, S3, Lambda) to deploy, monitor, and scale production services

What We’re Looking For

  • Currently pursuing or recently completed a degree in Computer Science, Applied Math, Financial Engineering, or a related technical field

  • Must have previous blockchain development experience — either on personal, academic, or professional projects

  • Strong proficiency in Rust and Python, with an ability to write clean, modular, and well-tested code

  • Hands-on experience integrating with crypto exchange APIs (REST, WebSocket, FIX)

  • Understanding of blockchain infrastructure, including on-chain data retrieval, mempool monitoring, and gas optimization

  • Familiarity with crypto-specific market mechanics: AMMs, funding rates, LP dynamics, liquidation cascades

  • Experience with Kafka or other real-time streaming architectures

  • Exposure to backtesting, simulation environments, and decentralized trading systems

  • Bonus: Experience with Clickhouse, Docker, Solidity/Vyper, or validator node architecture

Why Join Us?

  • Build real infrastructure used in live crypto trading environments

  • Collaborate with a team of experienced quant researchers, ex-HFT engineers, and DeFi-native developers

  • Own high-impact projects with direct execution and research value

  • Work in a fast-paced, intellectually rigorous environment where engineering and research go hand in hand

  • Full in-person culture in NYC with direct mentorship and tight collaboration across teams

Compensation: Mixture of cash and equity-based compensation depending on experience and hours committed.

For International Students

Blockhouse supports CPT/OPT, is e-verified, and accommodates flexible international payment arrangements.

Interested?
We encourage you to apply directly with your resume. We’re excited to hear from builders with a crypto-native mindset and a passion for trading infrastructure.

⬇
Apply Now

What is a quantitative career?

A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology

A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications

Some examples of quantitative careers include:

  1. Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
  2. Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
  3. Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
  4. Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
  5. Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.