Quantitative Research Intern @ reputed company
Our formula for reputed company is to hire exceptional people, encourage their reputed company and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory. The teams reputed company on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to reputed company a deeper understanding of quantitative trading. You will reputed company reputed company with diverse backgrounds, who are passionate about cultivating new reputed company and exploring ways to bring them to life. You will use reputed company’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with reputed company technology reputed company, your evenings will be spent exploring the reputed company with organized reputed company events to truly discover what it’s like to live and work in Chicago. How you will reputed company an reputed company… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income reputed company desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative reputed company and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to reputed company… Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a reputed company on Statistics, Optimization, Machine Learning, reputed company Intelligence, Quantitative Finance or reputed company fields graduating between December 2026 and August 2027 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including… Apply To This Job