Top Tech Jobs & Startup Jobs in NYC, NY

Manage stability, performance, and scalability of enterprise block, file, and object storage platforms. Automate provisioning and configuration, perform capacity planning and performance analysis, install and upgrade storage systems and firmware, lead incident response and root cause analysis, support backup and disaster recovery workflows, and collaborate with global infrastructure, database, cloud, and application teams.

As a Data Engineer, you will design financial knowledge graphs, create graph processing pipelines, and implement best practices for knowledge graph development.

The Fundamental Researcher conducts qualitative research to uncover insights about various industries, synthesizing findings into reports for investment professionals.

The candidate will develop software for quantitative trading, manage data pipelines, and enhance trading efficiency while working in a collaborative team.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

The Platform Project Manager will lead technology projects, ensuring delivery meets scope, schedule, and budget while collaborating with technical and business teams. Responsibilities include managing project plans, risks, and stakeholder communications, with a focus on infrastructure and platform initiatives.

Provide compliance advice and oversight for global macro trading strategies, embed real-time controls with trading teams, run pre- and post-trade surveillance and investigations, manage approvals and cross-functional projects, support regulatory readiness and policy updates, and deliver training and escalation to senior compliance leaders.

Support Equities Technology operations by managing budgets, improving processes, and facilitating communication across teams to ensure successful execution of initiatives.

As a Sector Analyst, you will analyze alternative data, produce research insights, and collaborate with investment professionals to drive informed decisions.

The Quantitative Researcher (NLP) will use NLP for data feature construction, formulate research hypotheses for alpha generation, build and test trading signals, and launch signals into production.