Systematic Quantitative Analyst

Citi • New York, NY

5d • $225,000 - $250,000 • Hybrid

About The Position

Citigroup Global Markets Inc. seeks a Systematic Quantitative Analyst for its New York, New York location. Duties: Perform analytical duties to support implementation of investment, capital raising, hedging, and asset allocation strategies. Perform computerized analysis of sophisticated financial and other quantitative data to be used in developing client proposals and strategic plans, and formulate and apply mathematical modeling and other optimizing methods to interpret this data. Assist in building financial models for trading desks. Develop sophisticated mathematical models for securities valuation, structuring portfolios, and formulating investment and trading strategies. Perform financial product modeling, portfolio structuring, asset allocation, bond market return analysis, systems development analysis, and bond market sector strategy analysis. Organize and analyze complex numerical and statistical data and other variables to develop valuation models and perform in-depth quantitative industry studies. Research and implement bond trading strategies using advanced statistical and mathematical models applied to large-scale bond trading datasets. Utilize programming languages and databases to process, analyze, and extract actionable insights from high-frequency, high-volume fixed income trading data. Design multi-factor credit risk decomposition models for corporate bonds. Design and build comprehensive back testing programs in Python to evaluate the historical performance of trading signals and risk models. Simulate realistic trading conditions in order to produce reliable and unbiased assessments of model performance. Collaborate with traders, technology teams, and risk management professionals to translate quantitative research findings into production-ready trading systems 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 Applied Mathematics, Finance, Financial Engineering, or related field and 3 years of experience as a Quantitative Analyst, Quantitative Research and Portfolio Manager, Portfolio Associate, Leveraged Finance Desk Strategist, Quantitative Strategist or related position involving quantitative modeling in the financial services industry.
• Alternatively, a Bachelor’s degree in the stated fields and 6 years of the specified progressive, post-baccalaureate experience.
• Developing analytics programs for financial applications using Python or other computer languages.
• Fixed income products including corporate bonds to build mathematical models for trading and risk management.
• Developing quantitative trading strategies for credit markets using advanced mathematical, statistical methods and knowledge of financial markets, including corporate capital structure and credit spread dynamics.
• Credit markets, including market microstructure, to improve trading strategies and credit risk models.
• Performing large-scale data manipulation and statistical analysis on corporate bond datasets to build sophisticated credit trading strategies.
• Analyzing financial datasets utilizing machine learning and statistical approaches to extract significant signals and improve mathematical models and trading strategies.

Responsibilities

• Perform analytical duties to support implementation of investment, capital raising, hedging, and asset allocation strategies.
• Perform computerized analysis of sophisticated financial and other quantitative data to be used in developing client proposals and strategic plans, and formulate and apply mathematical modeling and other optimizing methods to interpret this data.
• Assist in building financial models for trading desks.
• Develop sophisticated mathematical models for securities valuation, structuring portfolios, and formulating investment and trading strategies.
• Perform financial product modeling, portfolio structuring, asset allocation, bond market return analysis, systems development analysis, and bond market sector strategy analysis.
• Organize and analyze complex numerical and statistical data and other variables to develop valuation models and perform in-depth quantitative industry studies.
• Research and implement bond trading strategies using advanced statistical and mathematical models applied to large-scale bond trading datasets.
• Utilize programming languages and databases to process, analyze, and extract actionable insights from high-frequency, high-volume fixed income trading data.
• Design multi-factor credit risk decomposition models for corporate bonds.
• Design and build comprehensive back testing programs in Python to evaluate the historical performance of trading signals and risk models.
• Simulate realistic trading conditions in order to produce reliable and unbiased assessments of model performance.
• Collaborate with traders, technology teams, and risk management professionals to translate quantitative research findings into production-ready trading systems.

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: Mid Level