Crypto Quantitative Developer Internship
New York City Area
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Blockhouse
Optimize Trade Execution in 90 Seconds & Reduce Transaction Costs by 20%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.
Tags: APIs Architecture AWS Blockchain Computer Science Crypto Docker EC2 Engineering Kafka Lambda Machine Learning Mathematics Pipelines Python Research Rust Streaming Trading Strategies
Perks/benefits: Equity / stock options Flex hours Salary bonus
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