Quantitative Analyst, Equities Algorithmic Trading, VP
About The Position
Algorithmic Development & Enhancement: Research, design, and implement improvements for existing and new 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. 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. Provide data and analysis to support initial model validation and ongoing performance analysis. 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. 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.
Requirements
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Minimum 5 years of experience in 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.
- Strong understanding of US Equity Algorithmic Trading and Market Microstructure.
- Strong analytical and quantitative skills with a solid understanding of stochastic calculus, probability theory, and statistical modeling techniques.
- Strong programming skills in Python or R (statistical programming languages).
- Experience with numerical libraries and data manipulation.
Nice To Haves
- Knowledge of ETF trading is a plus.
- Experience with Predictive signal, Market Impact, and Optimal Trading schedule models is desirable.
- Programming, software design skills and Java experience desirable.
- Experience with Q/KDB or other time series databases is desirable.
Responsibilities
- Research, design, and implement improvements for existing and new algorithmic trading strategies
- Develop and enhance quantitative models
- Implement algorithm enhancements and customizations with production-quality code
- Perform in-depth analysis of large datasets
- Apply statistical modeling and machine learning techniques for data analysis and signal generation
- Provide data and analysis to support initial model validation and ongoing performance analysis
- Collaborate closely with traders, risk managers, product, sales, and technology teams
- Provide quantitative support and expertise for new product development
- Design and execute backtesting frameworks to assess model performance and robustness
- Maintain comprehensive documentation of models, methodologies, and validation processes
- Work in partnership with Risk & Control, Legal, Compliance & Audit teams
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
