GTE is a decentralized trading venue backed by top market makers and VCs. The team is building high-performance trading and research systems for Web3 and on-chain markets.
Role: Quantitative Developer
Key responsibilities:
- Design, implement, and maintain high-frequency off/on-chain systems for quantitative research, simulation, and real-time trading at scale.
- Translate models, signals, and hypotheses into robust, efficient production code in partnership with Quantitative Risk Management.
- Develop scalable research platforms for data ingestion, feature computation, monitoring, and backtesting across large datasets and diverse markets.
- Optimize performance and reliability of trading and analytics systems with attention to latency, throughput, and stability.
- Build tools and libraries to accelerate research and monitoring workflows and ensure reproducibility.
- Collaborate cross-functionally to evolve the firm’s research and trading stack.
Qualifications:
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Physics, or related field.
- Strong programming proficiency in C++, Rust, or Python; clean, maintainable coding style and solid debugging skills.
- Deep understanding of data structures, optimization algorithms, and system design; experience with distributed systems, parallelization, memory management, or HPC is a plus.
- Experience with quantitative finance research frameworks, big data pipelines, or algorithmic trading systems.
- Experience or interest in market microstructure, market making, ML modeling, derivatives modeling/trading, on-chain trading, and decentralized liquidity.
We offer:
- Remote work or office in NYC (relocation help may be provided in some cases).
- 150-250k USD/year gross salary + tokens (up to 750k total compensation by current valuation).