Top Tech Jobs & Startup Jobs

Design, build, and maintain data pipelines, datasets, APIs, storage systems, and research infrastructure supporting quantitative trading. Develop big data tooling for cluster and high-throughput computing, improve scalability and performance, manage data transmission between C++ and Python, and support releases, debugging, maintenance, and storage expansion. The role also involves leading technical projects and mentoring junior engineers.

Deploys, operates, monitors, and troubleshoots latency-sensitive trading applications and infrastructure. Automates management tasks in Python, resolves live incidents, develops monitoring and alerting, supports system and exchange rollouts, performs user acceptance testing, and identifies recurring incidents for continuous improvement. The role requires strong Linux-based Python programming, troubleshooting, collaboration, and performance optimization in an on-site trading environment.

Conduct economic, event-driven, company-specific, quantitative, and qualitative research for an options trading team. Analyze financial information, market events, datasets, and securities to identify trading opportunities and assess impacts on underlying options. Serve as a research contact for traders, support market-data analysis and strategy testing, and communicate insights in a fast-paced, time-sensitive environment across domestic and international markets.

Sources and engages candidates, primarily for technical roles, while building talent pipelines and supporting recruiting strategies. Evaluates and pitches candidates, provides a strong candidate experience, compiles pipeline and market intelligence reports, and maintains data integrity. The role offers exposure to full-cycle recruiting, including screening and interview coordination, while partnering with recruiters, hiring managers, and business leaders.

Build and maintain reliable, scalable post-trade systems supporting global trading across asset classes. Coordinate solutions across varied inputs, outputs, and latency requirements using Python and C++ within distributed systems. Apply Linux performance tuning and networking expertise, work with relational databases, and integrate FIX capabilities including execution management, market data, and drop copy. Collaborate effectively, communicate clearly, and own projects in a fast-paced trading environment.

Join the options trading quant team to design, implement, and improve derivative pricing models (variance swaps, VIX, volatility swaps). Evaluate and stabilize calibrations and Greeks, develop Python research libraries and market-data filters, analyze microstructure for trading ideas, and collaborate with traders to build tools and generate options research.

The Fundamental Research Analyst will conduct research and monitor global news to identify investment opportunities, supporting traders in making informed decisions.

As a Quantitative Researcher, you will analyze data, develop alpha signals, collaborate on performance analysis, and create pricing models while assessing risk.

The Quantitative Researcher will design, research, and deploy systematic trading strategies in global equity markets, conducting performance evaluation and managing risk.

The Software Engineer will enhance trading systems and applications, collaborate with quants and traders, and lead project initiatives.