Trader - job 1 of 3

Citigroup Global Markets Inc. seeks a Trader for its New York, New York location.

Duties: Develop pricing and hedging algorithms through quantitative and statistical methods for U.S. fixed income securities, including treasury bonds, futures and swaps. Analyze market and trade data from different trading venues to stream two-way price and market make in quoted securities. Generate algorithms for hedging and risk management for market making purposes, taking into account inventory, risk appetite, market volatility and hedging cost. Improve accuracy and efficiency of algorithms. Evaluate hedging performance by metric of execution fill rate, hedging cost, and hedging slippage on different hedging venues to improve hedging efficiency. Design and implement statistical models to extract patterns such as client trade habits, post trade drift, and market impact from large data sets on pricing and trades. Quantitatively model rates products through data, construct yield curve by leveraging correlation across different products, and analyze market indicators. Code and program analytical tools to monitor, support and improve trading system, including coding dashboard that analyzes price movement and trading volume. Manage day to day trading of swap algorithmic trading book by tuning pricing and manual hedging risks in the book. 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 Statistics, Mathematics or related field and 2 years of experience as a Quantitative Analyst, Quantitative Analysis Program Analyst, or related position involving pricing and hedging algorithms for a financial services institution. Alternatively, employer will accept a Bachelor’s degree in the stated fields and 4 years of the specified experience. 2 years of experience must include: Knowledge of fixed income securities including treasury bonds, futures, and swaps; Financial principles underlying hedging and risk management; Python and KDB programming languages; Developing quoting, hedging and execution algorithms including regression-based bid offer model; Quantitative and statistical modeling, including ability to apply linear, logistics models; Analyzing large trade and pricing datasets through data science techniques that include data cleaning, processing, and clustering; and Coding analytical tools to monitor trading systems, such as dashboard that analyzes trading volume. Applicants submit resumes at https://jobs.citi.com/ or by email to Citigroup Recruiting Dept. at NAMobilityRecruitment@citi.com. Please reference Job ID #23713387. EO Employer.

Wage Range: $160,000 to $175,000

Job Family Group: Institutional Trading

Job Family: Trading

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