Systematic Quantitative Analyst

Citi • New York, NY

1d • Hybrid

About The Position

Citigroup Global Markets Inc. seeks a Systematic Quantitative Analyst - Director for its New York, New York location. Duties: Build algorithms for the live pricing of fixed income instruments. Build trade execution algorithms. Develop automated and semi-automated quantitative strategies used by trading professionals to price and quote fixed-income instruments for clients. Build configure and use yield curves to price fixed-income instruments such as bonds, swaps, futures, forward rate agreements (FRAs). Assess the performance of the above models by running back-tests and simulations, and create reports to monitor ongoing performance. Research, implement and maintain predictors for various financial quantities involved in trading (prices, volumes, volatility, bid-ask spreads). Calibrate and assess the quality of in-house built and third-party statistical and machine-learning predictors. Develop success metrics for predictors and implement reports for monitoring their performance. Build and implement models and algorithms to hedge portfolios of fixed-income instruments and to analyze risk. Develop and maintain infrastructure for researching and executing pricing, hedging and prediction algorithms. Specify algorithmic pricing and trading infrastructure needs. Rationalize and clean-up existing codebases for algorithmic trading and pricing. Develop quantitative analytics libraries used for pricing and risk-management. Create, implement, and support quantitative models for the trading business leveraging a wide variety of mathematical and computer science methods and tools including hardware acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object-oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/ programming and statistics and probability. Develop quantitative pricing models using numerical techniques for valuation, including Monte Carlo Methods and partial differential equation solvers. Collaborate closely with Traders, Structurers, and technology professionals. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements

• Master’s degree, or foreign equivalent, in Operations Research, Financial Engineering or related field and 5 years of experience as a Quantitative Analyst, Quantitative Trading Analyst or related position developing real time pricing and trade execution algorithms for fixed-income instruments at a financial services institution.
• Alternatively, a Bachelor’s degree in the stated fields and 7 years of progressively responsible, post-baccalaureate experience.
• Calibrating and assessing statistical and machine-learning predictors.
• Maintaining infrastructure for pricing, hedging and prediction algorithms.
• Developing core analytical capabilities and Data-science/machine-learning libraries.
• Hardware acceleration, advanced calculus, performance-oriented programming languages, object-oriented software design, Python, kdb, SQL, mathematical finance/ programming, and statistics / probability concepts including Monte Carlo Methods and partial differential equation solvers.
• Developing yield curves to price fixed-income instruments including bonds, swaps, futures, forward rate agreements (FRAs).
• Algorithmic market making including market microstructure.

Responsibilities

• Build algorithms for the live pricing of fixed income instruments.
• Build trade execution algorithms.
• Develop automated and semi-automated quantitative strategies used by trading professionals to price and quote fixed-income instruments for clients.
• Build, configure, and use yield curves to price fixed-income instruments such as bonds, swaps, futures, forward rate agreements (FRAs).
• Assess the performance of models by running back-tests and simulations, and create reports to monitor ongoing performance.
• Research, implement, and maintain predictors for various financial quantities involved in trading (prices, volumes, volatility, bid-ask spreads).
• Calibrate and assess the quality of in-house built and third-party statistical and machine-learning predictors.
• Develop success metrics for predictors and implement reports for monitoring their performance.
• Build and implement models and algorithms to hedge portfolios of fixed-income instruments and to analyze risk.
• Develop and maintain infrastructure for researching and executing pricing, hedging, and prediction algorithms.
• Specify algorithmic pricing and trading infrastructure needs.
• Rationalize and clean-up existing codebases for algorithmic trading and pricing.
• Develop quantitative analytics libraries used for pricing and risk-management.
• Create, implement, and support quantitative models for the trading business leveraging a wide variety of mathematical and computer science methods and tools.
• Develop quantitative pricing models using numerical techniques for valuation, including Monte Carlo Methods and partial differential equation solvers.
• Collaborate closely with Traders, Structurers, and technology professionals.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Director