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The role involves building and supporting a trading platform, designing and deploying software solutions, and solving complex problems in a trading environment.

The Machine Learning Researcher will conduct research and development in machine learning for options trading, owning the full lifecycle from design to deployment, and leveraging large datasets to create impactful models.

The AI Data Engineer will develop AI tools, automate processes, and collaborate with teams to scale AI solutions across the firm. Responsibilities include building systems, prototyping solutions, and ensuring quality in AI-generated outputs.

Interns will develop knowledge of financial markets, apply statistical techniques to trading, learn to innovate on a trading platform, and collaborate with experts.

Conduct research and develop machine learning models for finance, focusing on deep learning and large language models, optimizing them for performance, and collaborating with teams to integrate ML solutions.

As a Quantitative Research Analyst, you will develop and test automated trading strategies, conduct research, and refine monetization systems using advanced statistical techniques.

Interns will learn financial markets, develop trading strategies, analyze data, and collaborate with experienced traders to enhance trading tools and frameworks.

Design, develop, test, and deploy automated trading system software solutions in collaboration with Quantitative Researchers, utilizing sophisticated statistical techniques.

Develop and implement automated trading system software solutions in partnership with Quantitative Researchers, focusing on software design, development, and deployment.

Conduct research and develop machine learning models for financial contexts, focusing on LLMs and deep learning applications. Collaborate to integrate solutions into trading strategies.