Systematic Quantitative Analyst

Citigroup Inc.; New York (NY); On-site; USD 247,500 - 302,500; Full time

Job summary

Citigroup Global Markets Inc. in New York, NY seeks a Director-level Systematic Quantitative Analyst to build live pricing and trade execution algorithms for fixed-income instruments.

The role focuses on yield curves, back-testing, risk analytics, and ML predictors, collaborating with Traders and technology teams. Citi policy may permit telecommuting within commutable distance.

Qualifications

• Master’s degree in Operations Research, Financial Engineering, or related field with 5 years of experience building real-time pricing and trade execution algorithms.
• Experience calibrating and assessing statistical and machine-learning predictors; maintaining infrastructure for pricing, hedging, and prediction algorithms.
• Proficiency in Python, C++, SQL, Monte Carlo methods and PDE solvers; knowledge of yield curves and fixed-income pricing.

Responsibilities

• Build live pricing and trade execution algorithms for fixed-income instruments.
• Develop automated/ semi-automated quantitative strategies for pricing and quoting fixed-income instruments.
• Create, back-test, and monitor models; develop predictors and reports for performance.

Skills

C++

Python

SQL

Monte Carlo

PDE Solvers

Machine Learning

Object Oriented

KDB

Education

Master’s degree in Operations Research or Financial Engineering

Bachelor’s degree with 7+ years experience

Tools

C++ (STL)

C# / .NET

Python

kdb

SQL

Java

Job description

Citigroup Global Markets Inc. – Systematic Quantitative Analyst - Director (New York, NY)

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, and 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, 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: Requires a Master’s degree, or foreign equivalent, in Operations Research, Financial Engineering, or a related field and 5 years of experience as a Quantitative Analyst, Quantitative Trading Analyst, or a related position developing real-time pricing and trade execution algorithms for fixed-income instruments at a financial services institution. Alternatively, the employer will accept a Bachelor’s degree in the stated fields and 7 years of the specified progressively responsible, post-baccalaureate experience. Full span of experience must include: 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); and Algorithmic market making including market microstructure.

Wage Range: $275,000 to $275,000

Job Family Group: Institutional Trading
Job Family: Quantitative Analysis
Time Type: Full time
Primary Location: New York, NY, United States

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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