Top Tech Jobs & Startup Jobs in NYC, NY

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

Develop and implement state-of-the-art machine learning models and statistical methods using massive structured and alternative datasets to discover predictive signals, design experiments, validate ideas through simulation, and collaborate to move research into production trading strategies.

Design and improve trading platforms with Python, support new trade functionality and integrations, monitor systems and infrastructure, respond to incidents, troubleshoot root causes, and optimize performance and reliability. Collaborate with quantitative researchers, engineers, senior leadership, and internal and external clients. The role also supports automation of accounting and operational workflows and requires understanding of market data and order-entry systems.

Analyze execution data across equities, futures, and other asset classes to build and maintain market impact and trade-cost models. Develop tools and studies to improve execution, collaborate with traders, researchers, brokers, and operations, and present findings to senior researchers to reduce transaction costs and enhance portfolio performance.

Lead the development of FX trading strategies, integrate FX as an asset class, build a team, and optimize execution and risk controls.

Lead a team of researchers to develop and implement systematic ETF strategies, optimize performance, and align with firm-wide investment strategies.

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

As a Quantitative Researcher, you'll develop trading algorithms, analyze financial data, create predictive models, and collaborate within a research team.

Design, build, and maintain scalable ingestion, normalization, validation, storage, and lifecycle management of large-scale market and alternative datasets. Develop Python- and SQL-based pipelines, monitoring, and tooling to ensure research-ready, high-quality data across multiple asset classes while collaborating with researchers and infrastructure teams.

The Linux Systems Engineer will manage and scale on-premise bare-metal Linux infrastructure, ensuring system performance and reliability through automation and troubleshooting.