This role involves designing, implementing, and maintaining market making algorithms and automated-response systems, with a focus on expanding capabilities to emerging markets. The candidate will be responsible for developing sophisticated trading systems that enhance Citi's algorithmic trading infrastructure.
The successful candidate must possess advanced technical skills, including strong programming capabilities in Python, potential proficiency in KDB/q and SQL, and expertise in financial engineering, machine learning, portfolio optimization, and algorithmic market making. A highly technical background with advanced training in data science, statistical modeling, and quantitative disciplines is essential.
Citi offers an entrepreneurial environment with significant opportunities for professional growth, providing exposure to cutting-edge financial technology and systematic trading strategies. The role promises a dynamic work culture that values innovation, continuous learning, and comprehensive business understanding across quantitative, technical, and strategic domains.
