Quantitative Engineer

Quantitative Engineer

Job Type:

Direct-Hire

Location:

New York - NY

Industry:

Crypto/Web3

Category:

Fintech

Compensation Range:

$ - $ Per Year

Additional Compensation Info:

250000

Job ID

24477

Rich Text Widget

Quantitative Engineer

Location: New York, NY

About the Opportunity

Join a premier blockchain infrastructure firm dedicated to architecting high-performance distributed systems for internet-scale finance. We are seeking a Quantitative Engineer to solve sophisticated technical challenges at the intersection of algorithmic optimization and decentralized markets. This is a high-impact role where you will design and implement the foundational technology driving efficiency and scalability for one of the world’s fastest-growing Layer 1 ecosystems.

Responsibilities

  • Algorithmic Design: Architect high-performance algorithms to solve complex optimization problems within distributed networks.

  • Quantitative Modeling: Build robust models for real-time risk evaluation and inefficiency minimization in high-volatility environments.

  • System Implementation: Spend approximately 75% of your time implementing and testing production-grade code, ensuring resilience under extreme network stress.

  • Data Integration: Develop integrations with low-latency data streams and blockchain state monitors to facilitate adaptive decision-making.

  • Performance Engineering: Evaluate system outcomes through rigorous benchmarking, metrics analysis, and data-driven iterations.

  • Collaborative Development: Partner with a specialized engineering team to integrate algorithmic strategies into backend services and open-source blockchain initiatives.

Requirements (Must-have)

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Quantitative Finance, or a highly technical field.

  • Technical Proficiency: Professional experience in Rust, C++, or Python, with a specific focus on performant, low-level implementation.

  • Professional Experience: 3+ years in quantitative engineering, high-frequency systems, or algorithmic optimization.

  • Domain Expertise: Deep understanding of market microstructure, graph algorithms, and real-time distributed systems.

  • Scale: Proven track record of building and maintaining systems that operate at significant scale and process high volumes of value.

  • Mindset: A passion for decentralized technology and the ability to thrive in a high-ownership, rapid-execution environment.

Preferred Qualifications (Nice-to-have)

  • Direct experience with high-performance blockchain protocols or consensus mechanisms.

  • A history of meaningful contributions to open-source software projects.

  • Knowledge of distributed systems architecture and network modeling.

  • Published research in quantitative finance or related computational fields.

Compensation & Benefits

  • Competitive base salary and significant equity package.

  • Opportunity to work on cutting-edge infrastructure with a world-class engineering team.

  • Flexible work environment with a culture of technical excellence.

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