Full-Time

Quantitative Developer

Confirmed live in the last 24 hours

Blockhouse

Blockhouse

11-50 employees

Develops decentralized security and privacy technologies

No salary listed

Junior, Mid, Senior

New York, NY, USA

Category
Quantitative Analysis
Algorithm Development
Quantitative Finance
Software Engineering
Required Skills
Rust
Python
C/C++
Requirements
  • 1+ year of experience in execution trading, quantitative development, or low-latency trading systems.
  • Strong background in C++, Rust, or highly optimized Python for high-performance applications.
  • Experience working with FIX protocol, broker/exchange APIs, and market data feeds.
  • Knowledge of market microstructure, order book dynamics, and execution cost models.
  • Strong debugging and performance optimization skills, particularly in latency-sensitive environments.
Responsibilities
  • Deploy and optimize execution algorithms for real-time, high-performance trade execution.
  • Develop low-latency infrastructure to support smart order routing, execution optimization, and live trading.
  • Translate research models into production-ready code, ensuring efficiency and scalability.
  • Build and maintain FIX connectivity for broker and exchange integration.
  • Optimize order placement logic and routing decisions for execution quality.
  • Enhance simulation environments to test execution algorithms under realistic market conditions.
  • Ensure robust monitoring and logging of live execution strategies.
Desired Qualifications
  • Prior experience in hedge funds, prop trading firms, market-making, or execution desks at major banks is highly preferred.

Blockhouse develops decentralized technologies that prioritize security and privacy in digital systems. Their main product is a distributed platform made up of hardened microservices that operate within trusted execution environments (TEEs). This setup allows for high-level security while maintaining performance, making it suitable for a variety of clients, including academic institutions and tech companies. Unlike many competitors, Blockhouse focuses on combining trusted and trustless computing to give individuals more control over their personal data. The company's goal is to create a secure digital society where users can manage their data in a decentralized environment.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Oxford, United Kingdom

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased adoption of confidential computing enhances data security, benefiting TBTL's offerings.
  • Zero-trust architecture rise drives demand for secure data access, aligning with TBTL.
  • Growing interest in Web3 technologies presents opportunities for TBTL's blockchain solutions.

What critics are saying

  • Emerging blockchain startups could dilute TBTL's market share.
  • Quantum computing evolution poses threats to blockchain security, affecting TBTL.
  • Vulnerabilities in trusted execution environments may expose TBTL's microservices to risks.

What makes Blockhouse unique

  • TBTL focuses on decentralized technologies ensuring security and privacy in digital systems.
  • The company offers a distributed platform with microservices running within trusted execution environments.
  • TBTL's business model includes partnerships, licensing, and key management services.

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Company Equity

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Growth & Insights

Headcount

6 month growth

-11%

1 year growth

4%

2 year growth

4%