Quantitative Analyst, Equities Algorithmic Trading, VP
Citi · New York, NY · Yesterday
HybridAnalyst$175k–$250k/yrFull-time
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.
- 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.
- 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.
- 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 series databases is desirable.
- Competitive compensation
- Comprehensive benefits
- Professional development and career growth opportunities
- Vast array of learning resources
- Opportunities to work alongside some of the brightest minds in the financial industry
Risk Management & Compliance
Required Qualifications & Skills
What Citi Offers
Job Family Group
Institutional Trading
Job Family
Quantitative Analysis
Time Type
Full time
Primary Location
New York, New York, United States
Primary Location Full Time Salary Range
$175,000.00 - $250,000.00
Anticipated Posting Close Date
Jul 27, 2026