Intermediate Trade Execution Engineer Job at SD Solutions, Remote

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  • SD Solutions
  • Remote

Job Description

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

Job Tags

Full time, Remote work,

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