994 Quantitative Analyst jobs in the United States
Senior Quantitative Analyst - Financial Markets
10001 New York, New York
$150000 Annually
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Our client, a leading global investment bank in New York City, New York, US , is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their elite Financial Markets division. This is a challenging opportunity for an individual with exceptional analytical and modeling capabilities to contribute to the development and implementation of sophisticated trading strategies, risk management models, and pricing derivatives. The ideal candidate will possess a deep understanding of financial markets, statistical modeling, stochastic calculus, and advanced programming techniques. You will work closely with traders, portfolio managers, and other quants to design, test, and deploy quantitative solutions that provide a competitive edge. Responsibilities include developing pricing models for exotic derivatives, building risk management frameworks, calibrating models to market data, and implementing algorithms for automated trading systems. The role requires a rigorous, data-driven approach to problem-solving and the ability to communicate complex mathematical concepts clearly to both technical and non-technical audiences. A strong academic background in a quantitative discipline and proven experience in a similar role within investment banking or hedge funds are essential. If you are a mathematically gifted professional with a passion for finance and a desire to work at the forefront of quantitative finance in a demanding, high-paced environment, this is the perfect role for you.
Key Responsibilities:
Key Responsibilities:
- Develop and implement quantitative models for pricing and risk management.
- Design and backtest trading strategies using historical and real-time data.
- Calibrate financial models to market data and validate their performance.
- Collaborate with front-office teams to support trading activities.
- Develop high-performance code for financial applications.
- Analyze market microstructure and identify trading opportunities.
- Contribute to the development of robust risk management frameworks.
- Stay updated on the latest academic research and market innovations.
- Communicate complex quantitative concepts to stakeholders.
- Master's or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
- Minimum 5 years of experience as a Quantitative Analyst in investment banking or hedge funds.
- Expertise in financial modeling, derivatives pricing, and risk management.
- Proficiency in programming languages such as C++, Python, or R.
- Strong understanding of stochastic calculus and statistical methods.
- Excellent analytical, problem-solving, and communication skills.
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0
Senior Quantitative Analyst - Financial Markets
89101 Sunrise Manor, Nevada
$130000 Annually
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Our client, a leading institution in the banking and finance sector, is seeking an exceptional Senior Quantitative Analyst to join their sophisticated trading and risk management team. This is a fully remote position, perfect for a highly analytical professional looking to leverage advanced mathematical and statistical techniques in financial markets. You will be responsible for developing, testing, and implementing quantitative models for pricing complex financial instruments, managing risk, and optimizing trading strategies. Your work will directly influence critical business decisions and contribute to the firm's competitive edge.
Key responsibilities include designing and coding algorithms for trading strategies, building sophisticated risk models, performing statistical analysis on large datasets, and validating model performance. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and provide data-driven insights. A deep understanding of financial markets, derivatives, econometrics, and machine learning techniques is essential. Proficiency in programming languages such as Python, R, C++, or Java, along with experience in databases and data visualization tools, is required.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Significant professional experience in quantitative finance, ideally within an investment bank or hedge fund, is mandatory. You must possess exceptional problem-solving abilities, a meticulous attention to detail, and the capacity to work effectively in a fast-paced, demanding environment. Strong communication skills are needed to explain complex quantitative concepts to both technical and non-technical audiences. This remote role offers the flexibility to work from anywhere, allowing you to contribute to our global financial operations.
Key responsibilities include designing and coding algorithms for trading strategies, building sophisticated risk models, performing statistical analysis on large datasets, and validating model performance. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and provide data-driven insights. A deep understanding of financial markets, derivatives, econometrics, and machine learning techniques is essential. Proficiency in programming languages such as Python, R, C++, or Java, along with experience in databases and data visualization tools, is required.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Significant professional experience in quantitative finance, ideally within an investment bank or hedge fund, is mandatory. You must possess exceptional problem-solving abilities, a meticulous attention to detail, and the capacity to work effectively in a fast-paced, demanding environment. Strong communication skills are needed to explain complex quantitative concepts to both technical and non-technical audiences. This remote role offers the flexibility to work from anywhere, allowing you to contribute to our global financial operations.
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1
Senior Quantitative Analyst - Financial Markets
63101 St. Louis, Missouri
$160000 Annually
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Our client, a leading financial institution based in **St. Louis, Missouri**, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic trading and risk management division. This critical role involves developing and implementing sophisticated mathematical models and algorithms to support trading strategies, risk assessment, and pricing of complex financial instruments. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in financial modeling, and proficiency in programming languages commonly used in quantitative finance. You will work closely with traders, portfolio managers, and risk officers to provide actionable insights and drive innovation in financial analytics.
Key Responsibilities:
Key Responsibilities:
- Design, develop, test, and deploy quantitative models for pricing, hedging, and risk management of derivatives and other financial products.
- Conduct in-depth statistical analysis and backtesting of trading strategies.
- Analyze market data to identify patterns, trends, and potential arbitrage opportunities.
- Develop algorithms for algorithmic trading systems.
- Collaborate with front-office and risk management teams to understand their needs and provide quantitative solutions.
- Implement and maintain quantitative libraries and infrastructure.
- Contribute to the firm's understanding of market microstructure and behavioral finance.
- Perform independent research on new quantitative methodologies and technologies.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 7 years of experience in quantitative finance, specifically in model development and implementation within a trading environment.
- Expertise in stochastic calculus, time series analysis, statistical modeling, and numerical methods.
- Strong programming skills in Python, C++, or R, with experience in libraries such as NumPy, SciPy, Pandas, and TensorFlow/PyTorch.
- Proficiency in financial data analysis and database management (SQL).
- Deep understanding of financial markets, instruments (equities, fixed income, derivatives), and trading strategies.
- Excellent problem-solving abilities and a rigorous analytical mindset.
- Strong communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Proven ability to work independently and manage complex projects.
- Familiarity with risk management frameworks (e.g., VaR, CVA) is a plus.
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2
Senior Quantitative Analyst - Financial Markets
50309 Des Moines, Iowa
$135000 Annually
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Our client, a distinguished institution within the Banking & Finance sector, is seeking a highly analytical and results-driven Senior Quantitative Analyst to bolster their trading strategies team. This challenging role is based in Des Moines, Iowa, US , and offers the opportunity to work with sophisticated financial models and large datasets in a dynamic market environment. The Senior Quantitative Analyst will be responsible for developing, testing, and implementing quantitative models used for trading, risk management, and portfolio optimization. This includes designing and back-testing trading algorithms, conducting in-depth statistical analysis of market data, and identifying new trading opportunities through rigorous research. You will collaborate closely with portfolio managers and traders to provide quantitative insights and support decision-making processes. The ideal candidate will possess a strong academic background with a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 4 years of experience in a similar quantitative role within investment banking, asset management, or hedge funds is required. Proficiency in programming languages like Python, C++, or R, along with strong database skills (SQL) and experience with statistical software packages, is essential. Deep understanding of financial markets, derivatives pricing, time-series analysis, and machine learning techniques is highly valued. Excellent problem-solving skills, attention to detail, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences are crucial. This is an exciting career opportunity to contribute to cutting-edge financial analysis and strategies in Des Moines, Iowa, US . If you are a highly motivated quantitative professional looking to make a significant impact in the financial industry, we encourage you to apply.
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3
Senior Quantitative Analyst - Financial Markets
50301 Des Moines, Iowa
$110000 Annually
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Our client, a respected institution within the banking and finance sector, is actively recruiting a Senior Quantitative Analyst to enhance their trading strategy and risk management capabilities in Des Moines, Iowa, US . This role demands a sophisticated understanding of financial markets, statistical modeling, and programming to develop and implement complex quantitative models. The successful candidate will be responsible for designing, testing, and deploying trading algorithms, pricing models, and risk assessment tools. You will analyze large datasets to identify market trends, assess portfolio risk, and develop strategies to optimize investment performance. Key responsibilities include collaborating closely with traders, portfolio managers, and risk officers to provide quantitative insights and support decision-making. Proficiency in languages such as Python, R, C++, and experience with financial libraries and databases are essential. A strong grasp of stochastic calculus, time series analysis, and machine learning techniques as applied to finance is highly desirable. This position offers a stimulating environment where analytical rigor and innovative thinking are highly valued. You will have the opportunity to work on challenging problems in a dynamic industry, contribute to critical business decisions, and influence the firm's quantitative strategies. The ability to communicate complex quantitative concepts to diverse audiences is crucial for success in this role.
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4
Senior Quantitative Analyst - Financial Markets
35801 Huntsville, Alabama
$140000 Annually
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A prestigious investment bank is seeking a highly skilled Senior Quantitative Analyst specializing in Financial Markets to join their innovative team in Huntsville, Alabama, US . This challenging role will involve developing and implementing sophisticated mathematical models and algorithms for pricing, risk management, and trading strategies across various financial instruments. You will be at the forefront of financial innovation, contributing to the firm's competitive edge through rigorous quantitative research and analysis. Responsibilities include designing, testing, and deploying complex pricing models for derivatives and other financial products, as well as developing risk measurement methodologies and stress-testing scenarios. You will also collaborate with traders and portfolio managers to identify new trading opportunities and optimize existing strategies. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, or Financial Engineering, along with at least 5 years of relevant industry experience. Proficiency in programming languages like Python, C++, or R, and a strong understanding of financial markets, derivative pricing theory, and statistical modeling techniques are essential. Experience with machine learning applications in finance is a significant advantage. This position offers a unique opportunity to work with cutting-edge technology, solve complex problems, and make a substantial impact within a global financial institution. The firm offers a highly competitive compensation package, including bonuses, and excellent career advancement opportunities.
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5
Senior Quantitative Analyst - Financial Markets
92101 Brisas del Mar, California
$140000 Annually
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Our client, a leading financial institution, is looking for a highly skilled Senior Quantitative Analyst to join their sophisticated team in San Diego, California, US . This role is integral to developing and implementing complex quantitative models for pricing, risk management, and algorithmic trading across diverse financial markets. You will be responsible for designing, testing, and deploying cutting-edge financial models, utilizing advanced statistical and mathematical techniques. Key responsibilities include conducting rigorous back-testing, analyzing market data, and collaborating with traders and portfolio managers to enhance trading strategies. The Senior Quantitative Analyst will also play a key role in researching and developing new analytical methodologies and ensuring the accuracy and efficiency of existing models. The ideal candidate possesses a strong academic background with a Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, or Computer Science, along with a minimum of 5 years of relevant experience in quantitative finance. Exceptional programming skills in languages like Python, C++, or R, and expertise in financial modeling, econometrics, and machine learning are essential. Strong communication skills are required to articulate complex analytical concepts to both technical and non-technical audiences. This is a challenging and rewarding opportunity to contribute to a world-class quantitative finance team.
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Senior Quantitative Analyst - Financial Markets
49501 Grand Rapids, Michigan
$150000 Annually
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Our client, a prominent investment bank, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated trading strategies team in Grand Rapids, Michigan, US . This critical role involves developing, implementing, and maintaining complex mathematical models and trading algorithms for financial markets. The ideal candidate will possess a strong academic background in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science, coupled with extensive practical experience in quantitative finance. Responsibilities include designing and backtesting trading strategies, performing statistical analysis of market data, and developing risk management models. You will work closely with traders and portfolio managers to identify trading opportunities and provide quantitative support for investment decisions. Strong programming skills in languages such as Python, C++, R, or MATLAB are essential, along with experience in data analysis, statistical modeling, and machine learning techniques. Knowledge of financial instruments, market microstructure, and various asset classes is highly desirable. The Senior Quantitative Analyst will also be involved in developing and maintaining the infrastructure for data analysis and model execution. Excellent problem-solving skills, attention to detail, and the ability to communicate complex quantitative concepts to non-technical stakeholders are crucial. This position offers a challenging and rewarding environment for a quantitative professional seeking to make a significant impact in the financial industry. Opportunities for career growth and exposure to cutting-edge financial technologies abound.
Responsibilities:
Responsibilities:
- Develop and implement quantitative trading strategies and models.
- Conduct rigorous statistical analysis of financial market data.
- Design and backtest trading algorithms across various asset classes.
- Build and maintain risk management frameworks and models.
- Collaborate with traders and portfolio managers to support investment decisions.
- Develop and optimize data analysis and model execution infrastructure.
- Apply machine learning techniques to financial modeling and forecasting.
- Ensure the accuracy and reliability of quantitative models.
- Communicate complex quantitative concepts to stakeholders.
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7
Senior Quantitative Analyst - Financial Markets
63101 St. Louis, Missouri
$150000 Annually
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Our client, a prestigious global investment bank, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their trading strategies division in St. Louis, Missouri, US . This role demands exceptional mathematical, statistical, and programming skills to develop and implement sophisticated financial models for pricing, risk management, and algorithmic trading strategies. The ideal candidate will have a proven track record in quantitative finance, a deep understanding of financial markets, and the ability to translate complex data into actionable insights. You will work closely with traders, portfolio managers, and technology teams to drive innovation and optimize trading performance.
Responsibilities:
Qualifications:
This position offers a highly competitive salary, performance-based bonuses, and extensive opportunities for professional growth within a leading financial institution.
Responsibilities:
- Develop, test, and implement complex mathematical and statistical models for financial derivatives pricing and risk management.
- Design and optimize algorithmic trading strategies across various asset classes.
- Perform quantitative research on market microstructure, volatility, and correlation.
- Build robust and efficient software tools for model implementation, backtesting, and live trading.
- Analyze large datasets to identify trading opportunities and market inefficiencies.
- Collaborate with traders to understand their needs and provide quantitative support.
- Monitor and manage the risk exposure of trading portfolios.
- Stay abreast of market developments, new trading technologies, and quantitative methodologies.
- Document models, methodologies, and trading strategies clearly and concisely.
- Communicate complex quantitative concepts to non-technical stakeholders.
- Ensure adherence to regulatory requirements and internal risk policies.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Minimum of 5 years of relevant experience in quantitative finance, preferably in investment banking or hedge funds.
- Strong programming skills in languages such as Python, C++, or R.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- In-depth knowledge of financial markets, derivatives, and trading strategies.
- Experience with large-scale data analysis and database management.
- Excellent problem-solving skills and the ability to work under pressure.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience with cloud computing platforms (AWS, Azure) is a plus.
This position offers a highly competitive salary, performance-based bonuses, and extensive opportunities for professional growth within a leading financial institution.
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8
Graduate Quantitative Analyst, Financial Markets
94101 San Francisco, California
$75000 annum (pro-
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Our client, a prestigious global investment bank, is offering an exceptional Graduate Internship opportunity for aspiring quantitative analysts to join their esteemed team in **San Francisco, California, US**. This immersive program provides rigorous training and practical experience in financial modeling, data analysis, and algorithmic trading strategies. Graduate Interns will work alongside experienced quants, learning to develop and implement sophisticated mathematical models and statistical techniques to analyze financial markets, identify trading opportunities, and manage risk. Key responsibilities include data mining, statistical analysis of market data, building predictive models, backtesting trading strategies, and contributing to the development of trading algorithms. You will gain exposure to various financial instruments, trading platforms, and cutting-edge analytical tools. This internship is designed for highly analytical and motivated individuals with a strong academic background in quantitative disciplines such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A Bachelor's or Master's degree (recent graduate or soon-to-be graduate) with exceptional quantitative and programming skills is required. Proficiency in programming languages such as Python, R, C++, or MATLAB, and a solid understanding of statistical concepts and financial markets are essential. Strong problem-solving abilities, attention to detail, and excellent communication skills are paramount. This is an unparalleled opportunity to gain invaluable industry experience, develop critical skills, and potentially secure a full-time position within a leading financial institution.
Key Responsibilities:
Key Responsibilities:
- Analyze financial market data using quantitative methods.
- Develop and implement statistical models and trading strategies.
- Program and backtest quantitative trading algorithms.
- Collaborate with senior quantitative analysts and traders.
- Perform data mining and statistical analysis.
- Contribute to risk management models.
- Learn and utilize financial modeling software and tools.
- Present findings and research to team members.
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