Quantitative Analyst, Equities Algorithmic Trading, VP

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities * Algorithmic Development & Enhancement: * Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. * Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). * Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). * Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. * Data Analysis & Modeling: * Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. * Apply statistical modeling and machine learning techniques for data analysis and signal generation. * Conduct flow analysis and performance tuning for various client flows. * Provide data and analysis to support initial model validation and ongoing performance analysis. * Collaboration & Support: * Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantitative tools into daily workflows and address complex client requests. * Provide quantitative support and expertise for new product development. * Risk Management & Compliance: * Design and execute backtesting frameworks to assess model performance and robustness under different market conditions. * Maintain comprehensive documentation of models, methodologies, and validation processes, ensuring adherence to internal standards and regulatory requirements. * Work in partnership with Risk & Control, Legal, Compliance & Audit teams to ensure appropriate governance and compliance with industry regulations. * Appropriately assess risk when making business decisions, safeguarding Citigroup, its clients, and assets, and escalating control issues with transparency. * Adhere to Citi’s Code of Conduct, policies, and procedures, fostering a culture of responsible finance and ethics. Required Qualifications & Skills Education: * Advanced degree (Master's or Ph.D.) in a computer science or quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline preferred. Experience: * Minimum 5 years of experience in trading or real time algorithm development, quantitative analysis or model development within a trading environment at a financial institution, with at least 3 years focused on research and development of agency execution algorithms, smart order routing strategies, liquidity seeking strategies, market making strategies, or high-frequency trading strategies. * Excellent grasp of algorithms and systems development, low latency and high performance computing experience desired. * Experience with Predictive signal, Market Impact, and Optimal Trading schedule models is desirable. Technical Skills: * Strong analytical and quantitative skills with a solid understanding of stochastic calculus, probability theory, and statistical modeling techniques. * Programming, software design skills and Java experience desirable. * Strong programming skills in Python or R (statistical programming languages). * Experience with numerical libraries and data manipulation. * Experience with Q/KDB or other time...