Systematic Quantitative Analyst
New York, NY, US
- Pay
$225,000–250,000/yearAnnual period assumed — pay source
Requirements: Requires a 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, employer will accept a Bachelor’s degree in the stated fields and 6 years of the specified progressive, post-baccalaureate experience. Full span of experience must include: 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; and Analyzing financial datasets utilizing machine learning and statistical approaches to extract significant signals and improve mathematical models and trading strategies. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26998756. EO Employer. Wage Range: $225,000 to $250,000 Job Family Group: Institutional Trading
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
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- Python
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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: Requires a 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, employer will accept a Bachelor’s degree in the stated fields and 6 years of the specified progressive, post-baccalaureate experience. Full span of experience must include: 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; and Analyzing financial datasets utilizing machine learning and statistical approaches to extract significant signals and improve mathematical models and trading strategies. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26998756. EO Employer.
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: Requires a 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, employer will accept a Bachelor’s degree in the stated fields and 6 years of the specified progressive, post-baccalaureate experience. Full span of experience must include: 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; and Analyzing financial datasets utilizing machine learning and statistical approaches to extract significant signals and improve mathematical models and trading strategies. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26998756. EO Employer. Wage Range: $225,000 to $250,000
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- Oct 18, 2026 · today
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- Oct 8, 2026
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Job description
#
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: Requires a 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, employer will accept a Bachelor’s degree in the stated fields and 6 years of the specified progressive, post-baccalaureate experience. Full span of experience must include: 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; and Analyzing financial datasets utilizing machine learning and statistical approaches to extract significant signals and improve mathematical models and trading strategies. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26998756. EO Employer.
Wage Range: $225,000 to $250,000
Job Family Group: Institutional Trading
Job Family: Quantitative Analysis
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## Job Family Group:
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## Job Family:
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## Time Type:
Full time
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## Primary Location:
New York New York United States
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## Primary Location Full Time Salary Range:
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.
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## Most Relevant Skills
Wholesale Lending Operations Management.
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## Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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## Anticipated Posting Close Date:
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## Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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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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