Top Tech Jobs & Startup Jobs

11-week quantitative research internship developing and implementing mathematical and trading models. Responsibilities include model conceptualization, backtesting, live implementation, using unconventional data, and conducting statistical research to refine trading signals and monetization systems.

As a Quantitative Researcher Intern, you'll develop models and strategies, conduct statistical analysis, and implement algorithms in a trading context.

Human Resources Interns support global HR projects and processes, identify process-improvement opportunities, analyze HR data, and develop solutions to talent challenges. They collaborate with stakeholders across People Operations, Benefits, Learning and Development, and People Analytics. The role requires strong communication, organization, analytical and problem-solving skills, along with proficiency in Excel, PowerPoint, and familiarity with AI tools such as Gemini and Claude.

11-week software engineering internship building high-performance, large-data research platforms and trading tools. Work in small teams on system architectures, distributed systems, NLP and ML, and web frameworks while collaborating with senior engineers.

Build scalable software, data pipelines, analytical infrastructure, and research tools for investment teams. Translate quantitative models and research ideas into reliable production systems, collaborate with researchers, portfolio managers, traders, and engineers, and solve technically challenging data-intensive problems. The role requires strong Python and software engineering fundamentals, experience with complex datasets, communication skills, adaptability, and interest in financial markets.

Commodities Analysts generate commodity investment ideas through fundamental research and data analysis, focusing on modeling supply and demand and improving data quality.

Conduct innovative machine learning research and develop scalable, robust models for financial markets across asset classes. Apply deep learning, sequence and time-series modeling, natural language processing, large language models, pre-training, fine-tuning, and reinforcement learning to model price formation, market behavior, and risk. Design, implement, optimize, and deploy models using Python and modern machine learning frameworks while collaborating with quantitative researchers, engineers, and traders.

Participate in a structured fixed income and macro trading rotation. Develop expertise in financial markets, apply statistical techniques to trading, adapt investment approaches, and use advanced trading technology. Collaborate with traders, quantitative researchers, and technologists while identifying opportunities and managing risk. The internship also includes networking with senior team members and peers.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Leads strategy, roadmap, design, launch, and scaling of data-driven health and human performance programs. Evaluates care models and digital health technologies, develops business cases and product requirements, manages vendors and cross-functional stakeholders, tracks outcomes, and drives program iteration. Partners with the Chief Medical Officer and Benefits team on health services, analytics, healthcare navigation, and employee health initiatives.