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Quantitative Analyst, Equities Algorithmic Trading

https://www.citi.com/ Logo

Citi

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Location:
United States , New York

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Category:
Finance

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Contract Type:
Not provided

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Salary:

175000.00 - 250000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • Appropriately assess risk when making business decisions
  • Adhere to Citi’s Code of Conduct, policies, and procedures

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
  • Will be required to either already possess or apply upon arrival for Series 7 and 63 licenses

Nice to have:

  • 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
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
February 04, 2026

Expiration:
February 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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