Top Tech Jobs & Startup Jobs in NYC, NY

Conduct applied quantitative research in global financial markets by analyzing large-scale market and order-flow data, developing predictive, statistical, stochastic, and machine learning models, testing hypotheses, and identifying trading opportunities. Researchers validate models in live market environments and collaborate with engineers and traders. The role includes structured graduate onboarding and requires a PhD in a quantitative STEM field, expected completion by mid-2027.

The Operations Analyst will manage the full trade lifecycle for ETFs and cash equities, streamline processes, resolve trade errors, and collaborate with traders and developers to enhance trading operations.

The Software Engineer will design and develop low-latency trading systems for US equities and ETFs, optimizing data processing and collaborating with traders and engineers.

Design, build, deploy, and operate production-grade AI systems (agent platforms, assistants, evaluation frameworks) integrated with internal data and external services. Evaluate models and architectures, define metrics, ensure reliability, scalability, security, and observability, rapidly prototype new capabilities, and partner with trading and research teams to deliver measurable business impact.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.

Lead sourcing initiatives for cloud and AI infrastructure, optimizing third-party spend, negotiating hyperscaler agreements, and mentoring procurement teams.