Job Title

Intermediate Trade Execution Engineer - Crypto Quant Fund

Job Description

We are a stealth hedge fund spinup emerging from a major cryptocurrency brand and venture capital firm. You will be working directly under myself — the fund’s quantitative researcher and model developer — to build, maintain, and scale the trading infrastructure, with a focus on execution, order management, and system reliability.

Core Responsibilities

• Design and implement trade execution pipelines — from order creation to lifecycle management (fills, cancellations, reconciliation, error handling).
• Build and maintain real-time trading infrastructure for medium-frequency systematic strategies.
• Integrate exchange APIs (REST / WebSocket) for multiple venues and asset classes.
• Develop and manage risk and position monitoring systems that interact with live strategies.
• Collaborate with the quant (myself) to connect predictive model outputs into production execution systems.
• Build robust simulation and backtesting bridges between research and live environments.
• Maintain data pipelines and microservices supporting live and historical trading operations.
• Ensure low-latency, fault-tolerant, and auditable trade flow across systems.
• Participate in deployment and system monitoring, including logging, alerting, and recovery.

Restrictions

• Telecommuting is OK
• Agencies are OK

Requirements

Software Development

• Python: strong understanding of async programming, multiprocessing, and performance optimization.
• Experience with WebSocket clients, REST APIs, and exchange integrations (crypto or traditional).
• Backend / Systems Engineering: strong knowledge of networking, databases (SQL/NoSQL/in-memory), and containerized deployment (Docker, Linux).
• Familiarity with microservice architectures and message passing systems (ZeroMQ, Kafka, Redis streams, etc.).
• Strong understanding of version control (Git/GitHub) and deployment workflows.

Trading Infrastructure

• Knowledge of order types, fills, execution algorithms, slippage, and latency management.
• Experience building or maintaining OMS/EMS systems (custom or off-the-shelf).
• Understanding of risk limits, position reconciliation, and PnL tracking.
• Familiarity with live trading constraints, e.g., rate limits, timeouts, connection reliability.
• Ability to design robust recovery and replay logic for live trade sessions.

Quantitative / Market Awareness

• Familiar with how quantitative trading models work (you’ll be integrating them, not building them).
• Understanding of market microstructure, liquidity, and order book dynamics.
• Comfortable reading model signals and ensuring execution logic aligns with trading intent.

Preferred / Nice-to-Have

• Prior work in crypto, DeFi, or exchange connectivity.
• Experience writing Cython, Rust, or C++ for performance-critical modules.
• Experience deploying cloud-native systems (AWS, GCP, or bare-metal Linux).
• Contributions to open-source trading, infrastructure, or quant frameworks.
• Experience implementing backtest/live parity testing frameworks.

Personality & Work Ethic

• Systems thinker with an eye for reliability and automation.
• Curious, disciplined, and calm under production pressure.
• Detail-oriented and rigorous with testing and documentation.
• Comfortable working remotely and asynchronously in a fast-paced, technically demanding environment.

About the Company

We are a US-based hedge fund / quant desk spinout from a prominent crypto venture fund and brand, building a next-generation quantitative trading operation at the intersection of crypto and traditional markets. More details will be provided during the interview.

Contact Info

• Contact: Stuart Farmer
• E-mail contact: stuart@lamden.io
• Web: https://github.com/BanklessQuanta/