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As a Credit & Rates Rotational Trading Intern, you will learn about financial markets, develop trading strategies, build tools, and assist in data analysis over an 11-week program.

Design and maintain distributed systems for large-scale simulations in a cloud environment, optimizing performance and ensuring scalability and reliability.

Develop and implement automated trading systems, collaborating with quantitative researchers to deliver custom software solutions, utilizing advanced statistical techniques.

The role involves designing, developing, testing, and deploying software solutions for automated trading systems, collaborating with quantitative researchers to prioritize projects.

Design, develop, test, and deploy software solutions for automated trading systems, working closely with quantitative researchers.

As a Quantitative Research Analyst, you will develop and test trading algorithms, conduct statistical analyses, and improve mathematical models using complex data sets.

Interns will develop fundamental knowledge of the financial sector, identify pricing inefficiencies, and transform data into actionable trade signals. They will collaborate with traders and monitor market trends.

As a Trading Fundamental Analyst Intern, you'll develop sector knowledge, identify pricing inefficiencies, and convert data into actionable insights while collaborating with traders.

The role involves optimizing HPC for distributed AI/ML/Stats workloads, enhancing libraries, troubleshooting bottlenecks, and collaborating with teams.

Design and implement libraries and machine-learning pipelines to support quantitative research and trading while optimizing performance and cost-efficiency.