This role involves conceptualizing valuation strategies, developing mathematical models, translating algorithms into code, and implementing trading models in live trading environments. Researchers will be expected to innovative in their approach, using unconventional data sources and continuously improving trading systems.
Candidates must have a PhD in a highly quantitative field such as Mathematics, Statistics, Physics, or Computer Science. Strong technical background is essential, including deep knowledge of probability, statistics, machine learning, time-series analysis, and experience with distributed computing and analytical packages.
Citadel offers an opportunity to work with world-leading investment professionals, providing an environment of continuous learning and collaboration. The role promises challenging research opportunities, cutting-edge technology, and the chance to contribute to sophisticated financial modeling and trading strategies.
