Note: The job is a remote job and is open to candidates in USA. Hunter Bond is partnering with a globally respected proprietary trading firm to hire a Quant/Machine Learning Researcher for a high-impact role embedded directly with a trading desk. The role involves building and deploying machine learning systems that directly influence trading decisions, working in a collaborative environment focused on technical excellence and engineering quality.
Responsibilities
- Designing and building scalable systems to train and serve machine learning models
- Owning models end-to-end: research, implementation, deployment, and performance monitoring
- Improving training and inference efficiency, including hardware-level optimization
- Adapting models for different compute environments and architectures
- Leading technical initiatives and influencing system design decisions
- Contributing to discussions around code quality, testing strategy, and software architecture
- Collaborating closely with traders, researchers, and engineers across the business
Skills
- Advanced degree (ideally PhD) in a quantitative or technical discipline such as Machine Learning, Computer Science, Mathematics, Physics
- 1-3+ years of hands-on experience building machine learning systems in production environments
- Strong foundations in probability, statistics, and ML theory
- Proven ability to write high-quality, maintainable, performance-oriented code
- Experience with MLOps, including model deployment, monitoring, and iteration
- Publications in NeurIPS, ICLR, ICML etc
- GPU programming experience (CUDA, OpenCL)
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