What are the responsibilities and job description for the Quantitative Developer position at EJR Search Partners?
Who You Are:
We are seeking a highly skilled Quantitative Developer to join our trading desk. The successful candidate will collaborate with traders, quants, and other developers to design, implement, and optimize market making and quantitative trading strategies. This role requires a strong background in software development, quantitative analysis, and financial markets, particularly in the FX and Crypto trading domains.
What You’ll Do:
- Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets
- Collaborate with traders and quantitative analysts to understand trading strategies and translate them into efficient code
- Optimize existing trading systems for speed, reliability, and scalability
- Integrate new data sources and ensure data integrity for accurate model input
- Monitor and troubleshoot live trading systems, ensuring minimal downtime and optimal performance
- Stay up-to-date with the latest advancements in quantitative finance, software development, and Crypto markets
- Contribute to the continuous improvement of development processes and tools
What We’re Looking For:
- Bachelor's, Master's, or Ph.D. in Computer Science, Mathematics, Financial Engineering, or a related field
- Proven experience in developing and implementing quantitative models and trading algorithms
- Strong programming skills in Java
- Experience with high-frequency / low-latency trading systems
- Experience working on an FX or Cryptocurrency trading desk
- Experience in integrating and executing strategies on DeFi platforms (SOL/ETH)
- Excellent communication skills, both written and verbal
Bonus Points:
- Experience of research and backtesting to evaluate the performance of trading strategies and models
- Proficiency in Rust and Python, statistical tools (e.g., NumPy, pandas, SciPy)
- Experience of development with relational and time series database technologies
- Knowledge of risk management infrastructure