Top Tech Jobs & Startup Jobs

Manage daily HR operations, including employee records, benefits, compliance, onboarding, offboarding, recruiting coordination, performance management, and employee development. Improve scalable HR policies, processes, systems, and workflows while partnering with leadership and hiring managers. Track HR metrics and prepare reports for leadership. Support employee engagement, retention, and the overall employee experience in a fast-paced, technology-driven organization.

Supports recruiting coordination, candidate communications, interview scheduling, onboarding and offboarding, HR recordkeeping, office operations, vendor coordination, employee events, people reporting, and process documentation. The role helps maintain a polished experience for candidates, employees, visitors, and vendors while supporting the New York office and broader people operations workflows.

Own full-cycle technical recruiting across engineering and quantitative research roles, with a strong focus on campus recruiting, university partnerships, conferences, and technical events. Source, engage, screen, and close candidates; manage interview processes; build talent pipelines; support talent branding; analyze recruiting funnel and event performance; and partner with leadership and technical stakeholders to improve hiring outcomes.

Conduct research-driven algorithmic development by converting quantitative concepts into high-performance, stable, and scalable trading strategies and systems. Perform rigorous analysis of market dynamics, strategy behavior, and system performance while collaborating with the research team.

Develop and test quantitative trading models using statistical and machine-learning methods on large financial datasets. Perform research-driven analysis, build predictive models, and communicate findings to integrate into strategy frameworks.

The Deep Learning Researcher will expand quantitative finance boundaries by developing advanced models and conducting systematic research.

Algorithmic Developers create high-performance trading strategies and systems, analyzing market dynamics and improving system performance in a collaborative, innovative environment.

Build and optimize core systems for high-performance trading infrastructure: implement low-latency C++ components, research performance optimizations, design scalable distributed systems, and test networking and hardware choices.

Quantitative Researchers develop predictive models, apply statistical methodologies to financial data, and design frameworks for risk and returns analysis.

Conduct rigorous deep learning research to develop and implement advanced predictive models, work with large datasets and high-performance computing, publish findings, and communicate results within a collaborative quantitative research team.