Top Tech Jobs & Startup Jobs

Ten-week paid software engineering internship developing, testing, and deploying C++ solutions for a proprietary trading platform. Interns work with large datasets, network programming, multithreaded applications, AI coding tools, and cross-functional technologists and researchers. The role includes mentorship, complex problem-solving, collaboration, and opportunities for full-time employment after graduation.

Build data pipelines and relational data models using Python and SQL; clean operational data, support scenario analysis, and create dashboards for PMO leadership. Explore LLMs and machine learning for text analysis and data-quality automation. Gain production experience with testing, documentation, maintainable code, and data-driven decision support in a trading environment.

Ten-week AI engineering internship focused on evaluating AI models, frameworks, and developer tools; prototyping AI-driven automation and assistants; tracking adoption and efficiency metrics; collaborating with traders and engineers; presenting findings to senior leaders; and addressing complex problems in algorithmic trading.

Ten-week quantitative trading internship involving training in kdb+/q, market microstructure, and strategy development. Interns analyze real-world trading data, model opportunities, build tools for trading decisions and risk management, collaborate with traders and technologists, and present findings to senior leaders. The program targets STEM students graduating between December 2027 and June 2028 and may lead to full-time quantitative trading roles.

As a Discretionary Trader, you will leverage advanced technology to scale profitable strategies and identify new opportunities, collaborating with a tech team to enhance trading systems.

Design, build, and maintain internal front-end trading tools, dashboards, and supporting APIs. Partner with traders, Risk, and Technology to gather requirements, improve performance, reliability, and scalability, and provide production support for real-time, high-throughput trading systems.

The Director of AI Engineering will develop AI-driven solutions, enhance trading workflows, oversee LLMs, and lead AI integration efforts.

Design and build Qlik Sense dashboards and data load transformations for middle/back-office teams. Develop and maintain backend services supporting the trade lifecycle, ensure accurate data flows, own audit-trail reporting, support production systems, and improve performance, reliability, and observability.

Lead a small data engineering team and own market data platforms from ingestion through delivery. Build and maintain KDB+/Q time-series systems, ensure data correctness, low-latency decoding, replay/recovery, and reliable distribution to downstream consumers. Write production code, review designs, improve observability, and prepare the platform for AI-driven consumers.