Top Tech Jobs & Startup Jobs in NYC, NY

The Data Scientist will develop models and algorithms for data insights, design analytics platforms, automate pipelines, and collaborate with stakeholders to create scalable data solutions.

The role involves analyzing investment strategies, forecasting performance, communicating findings, and developing analytics tools to support decision-making and capital allocation.

Design and maintain React and TypeScript applications for trading platforms, focusing on performance, testing, and collaboration with stakeholders. Mentor teammates and uphold engineering best practices.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

Seeking a Machine Learning Engineer to apply AI technologies in high frequency trading, focusing on automation and collaboration with AI research.

The role involves conducting research to develop systematic macro strategies and signals focusing on market microstructure for trading. Responsibilities include feature engineering, modeling, backtesting, and improving trading environments.

The Systems Analyst will implement and support Workday Financials and Adaptive Planning, enhance workflows, develop financial models, and integrate systems while partnering with finance stakeholders.

Build enterprise-grade data infrastructure and services supporting research, trading, and AI. Develop agentic workflows leveraging large language models, define service contracts and data models, build reliable scalable pipelines, ensure observability and performance, containerize and orchestrate deployments, and contribute to CI/CD and infrastructure-as-code automation.

In this role, you will enhance fund reporting processes, prepare financial statements, collaborate with various teams, and drive automation improvements.

Lead delivery of end-user technology services; support PCs, laptops, conferencing, mobile and voice systems; troubleshoot and remediate complex issues; automate operational tasks with scripting; manage incidents and root cause analysis; run technology projects, vendor coordination, training, documentation, and provide rotational on-call and travel support.