Your Core Responsibilities:

📍Develop high-throughput, scalable research platforms, with a focus on the interaction between data, ML pipelines and back testing 📍Guide tooling to facilitate unconstrained experimentation at a large scale; generalize tooling across asset classes, horizons and trading strategies 📍Collaborate with quantitative researchers and traders to investigate and evaluate research ideas and to develop scientific libraries to share findings 📍Evaluate and roll out third-party tooling (e.g., MLflow; Neptune; Ray); lead implementation and optimization of our research tools 📍Create efficient processes for reproducible research 📍Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions

Your Skills & Experience:

📍5+ years of experience in designing research platforms in trading environments 📍Previous experience working with ML methodologies and frameworks such as LLMs, Deep Learning, Neural Networks, etc. 📍Software development experience in C++ or Java + proficiency in Python 📍Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX 📍Hands-on experience with ML pipelines in high-performance (real-time, low latency) environments is a strong plus

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.