165 Securities Trading jobs in the United States

Senior Quantitative Analyst - Derivatives Trading

43201 Columbus, Ohio $150000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client, a prestigious investment bank, is seeking a highly analytical and mathematically gifted Senior Quantitative Analyst to join their elite trading strategies team. This role operates on a fully remote basis, allowing you to work from your preferred location. You will be at the forefront of developing and implementing sophisticated pricing and risk management models for complex financial derivatives. Responsibilities include designing algorithmic trading strategies, conducting rigorous statistical analysis, performing backtesting, and contributing to the ongoing refinement of trading models. The ideal candidate will possess a deep understanding of financial markets, particularly equities, fixed income, and foreign exchange derivatives. A Ph.D. or Master's degree in a quantitative discipline such as Financial Mathematics, Physics, Statistics, or Computer Science is a prerequisite. Exceptional programming skills in C++, Python, or R are essential, along with extensive experience in financial modeling and data analysis. You must have a proven ability to translate complex mathematical concepts into practical trading applications. Strong communication skills are required to articulate intricate strategies and findings to traders and senior management. This is an exceptional opportunity to leverage your quantitative expertise in a high-impact, fast-paced environment and contribute to significant trading performance.
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Quantitative Analyst (Quant) - Derivatives Trading

43215 Columbus, Ohio $120000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a leading financial institution, is seeking a highly skilled Quantitative Analyst (Quant) to join their dynamic derivatives trading desk. This is a fully remote role offering the opportunity to develop and implement sophisticated mathematical models and trading strategies. You will play a critical role in pricing complex financial instruments, managing risk, and contributing to the profitability of the trading book. The ideal candidate possesses a strong quantitative background, excellent programming skills, and a deep understanding of financial markets and derivative products.

Responsibilities:
  • Develop, implement, and maintain pricing models and risk management systems for a variety of derivative products (e.g., options, futures, swaps).
  • Conduct in-depth quantitative research to identify new trading opportunities and strategies.
  • Collaborate closely with traders, portfolio managers, and technology teams to deploy and refine quantitative models.
  • Perform statistical analysis and backtesting of trading strategies.
  • Analyze market data to identify trends and anomalies.
  • Quantify and hedge complex risks within the trading portfolio.
  • Contribute to the development of cutting-edge financial engineering solutions.
  • Prepare clear and concise reports on model performance and research findings.
  • Stay abreast of regulatory changes and market developments affecting derivative markets.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • 3+ years of experience in a quantitative role within investment banking, hedge funds, or proprietary trading firms.
  • Strong proficiency in programming languages such as Python, C++, or R.
  • Deep understanding of stochastic calculus, financial econometrics, and numerical methods.
  • Expertise in derivative pricing models (e.g., Black-Scholes, Heston) and risk management techniques (VaR, Greeks).
  • Experience with large datasets and statistical modeling tools.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced, remote environment.
  • Demonstrated interest and knowledge of financial markets.
  • This remote position offers the flexibility to work from anywhere, with primary collaboration with teams in Columbus, Ohio, US .
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Quantitative Analyst (Quant) - Derivatives Trading

76102 Fort Worth, Texas $120000 annum + bon WhatJobs

Posted 7 days ago

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full-time
Our client, a leading investment bank, is seeking a highly skilled Quantitative Analyst to join their dynamic trading desk in Fort Worth, Texas, US . This hybrid role offers a blend of in-office collaboration and remote flexibility. You will be responsible for developing and implementing sophisticated pricing models, risk management strategies, and algorithmic trading tools for a range of financial derivatives. This position requires a deep understanding of financial markets, stochastic calculus, and advanced statistical techniques. You will work closely with traders and portfolio managers to identify trading opportunities, optimize execution, and manage portfolio risk. Key responsibilities include building real-time pricing engines, developing predictive models for market movements, back-testing trading strategies, and ensuring the accuracy and robustness of our quantitative systems. The ideal candidate will possess a Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Computer Science, or Financial Engineering, with a proven track record in quantitative finance. Strong programming skills in C++, Python, or R are essential, along with experience in financial modeling libraries and databases. Familiarity with complex derivatives (e.g., options, futures, swaps) and their underlying risk factors is a must. Excellent analytical, problem-solving, and communication skills are required to effectively translate complex quantitative concepts into actionable trading strategies. This is an exciting opportunity to join a high-performance team in a challenging and rewarding environment. You will have the chance to directly impact trading strategies and contribute to the firm's success.
Responsibilities:
  • Develop and maintain pricing models for various financial derivatives.
  • Design and implement risk management systems and tools.
  • Create and optimize algorithmic trading strategies.
  • Conduct rigorous back-testing and validation of quantitative models.
  • Collaborate with traders and portfolio managers to provide quantitative support.
  • Analyze market data to identify trends and opportunities.
  • Ensure the accuracy and efficiency of trading systems.
  • Contribute to the development of new financial products.
  • Stay current with market trends and regulatory changes.
Qualifications:
  • Master's or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
  • 3+ years of experience in quantitative finance, preferably within a trading environment.
  • Expertise in C++, Python, or R programming languages.
  • Strong knowledge of stochastic calculus, numerical methods, and financial econometrics.
  • Experience with derivatives pricing and risk management.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills.
  • Ability to work effectively in a fast-paced, team-oriented environment.
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Senior Quantitative Analyst, Derivatives Trading

33101 Miami, Florida $150000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a prestigious investment bank, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated derivatives trading desk. This role offers the flexibility of a remote work arrangement, allowing you to contribute from your home office, though occasional travel to Miami, Florida, US may be required. The successful candidate will be instrumental in developing, implementing, and maintaining complex mathematical models and algorithms for pricing, risk management, and trading strategies in various derivative markets, including equities, fixed income, and commodities. You will work closely with traders, researchers, and technologists to identify trading opportunities, optimize execution, and manage market risk. Responsibilities include researching and implementing novel quantitative techniques, performing rigorous backtesting and validation of models, and contributing to the development of high-performance trading infrastructure. A deep understanding of financial mathematics, stochastic calculus, and statistical modeling is essential. The ideal candidate will possess exceptional programming skills, particularly in languages like Python, C++, or Java, and experience with large datasets and high-frequency trading environments. You should be adept at translating complex financial concepts into practical, implementable solutions and have a proven ability to thrive in a fast-paced, intellectually challenging trading environment. This is a unique opportunity to leverage your quantitative expertise at the forefront of financial innovation, shaping trading strategies and driving profitability in a highly competitive market.

Key Responsibilities:
  • Develop, implement, and refine complex quantitative models for derivative pricing and risk management.
  • Design and backtest trading strategies using historical and real-time market data.
  • Collaborate with traders to identify and capitalize on market opportunities.
  • Perform quantitative analysis to support trading decisions and risk mitigation.
  • Contribute to the development of trading infrastructure and analytical tools.
  • Stay current with academic research and industry advancements in quantitative finance.
  • Work closely with IT to ensure robust and efficient implementation of models.
  • Analyze large datasets to extract actionable insights.
  • Communicate complex quantitative concepts to non-technical stakeholders.
  • Ensure compliance with regulatory requirements and internal policies.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative analysis within investment banking, hedge funds, or proprietary trading firms.
  • Expertise in derivatives pricing, risk management, and statistical modeling.
  • Strong programming skills in Python, C++, or Java, with experience in high-performance computing.
  • Proficiency in data analysis and visualization tools.
  • Deep understanding of financial markets and trading strategies.
  • Excellent problem-solving and analytical skills.
  • Strong communication and presentation abilities.
  • Ability to work effectively under pressure in a dynamic trading environment.
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Senior Quantitative Analyst, Derivatives Trading

53703 Madison, Wisconsin $150000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a highly respected financial institution, is seeking a Senior Quantitative Analyst to join its sophisticated derivatives trading desk in Madison, Wisconsin, US . This pivotal role involves developing and implementing complex mathematical models for pricing, hedging, and risk management of a wide range of financial derivatives. The ideal candidate will possess a deep understanding of financial markets, advanced statistical techniques, and strong programming skills.

Your responsibilities will include designing, building, and backtesting pricing models for options, futures, and other complex derivatives. You will perform rigorous risk analysis, including VaR calculations and stress testing, to ensure the firm's trading positions are robust. Developing and maintaining real-time trading and risk management systems, as well as collaborating closely with traders and portfolio managers to understand their needs and provide data-driven insights, will be essential. The successful candidate will have a proven ability to translate complex financial concepts into practical, implementable quantitative solutions. Expertise in languages such as Python, C++, or R, coupled with experience in numerical methods and statistical modeling, is critical. You will also be involved in the research and development of new trading strategies and the continuous improvement of existing analytical tools. This position offers a unique opportunity to work in a fast-paced, intellectually stimulating environment at the forefront of financial innovation. The ability to work effectively under pressure and communicate complex quantitative ideas clearly to both technical and non-technical stakeholders is paramount.

Qualifications:
  • Master's or Ph.D. in Quantitative Finance, Financial Engineering, Mathematics, Physics, Computer Science, or a related quantitative field.
  • Minimum of 5 years of experience in quantitative analysis within the financial services industry, with a focus on derivatives.
  • Strong expertise in financial derivatives pricing and hedging models.
  • Advanced knowledge of statistical modeling, time series analysis, and machine learning techniques.
  • Proficiency in programming languages such as Python, C++, or R.
  • Experience with financial data analysis libraries and platforms.
  • Solid understanding of risk management principles and practices.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and as part of a collaborative team.
  • Experience with large-scale data processing and database technologies is a plus.
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Senior Quantitative Analyst - Derivatives Trading

60601 Chicago, Illinois $150000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a leading financial institution, is seeking a highly skilled and motivated Senior Quantitative Analyst to join their elite trading strategies team. This fully remote position is ideal for a seasoned professional with a profound understanding of financial markets, stochastic calculus, and advanced statistical modeling. You will be instrumental in developing and implementing sophisticated pricing, hedging, and risk management models for a wide range of derivative products. The role demands exceptional analytical rigor, programming prowess, and the ability to translate complex mathematical concepts into practical trading applications. Working remotely, you will collaborate with a global team of traders and quants, contributing directly to the firm's trading performance.

Key Responsibilities:
  • Design, develop, and implement mathematical models for pricing and risk management of complex financial derivatives (options, futures, swaps, etc.).
  • Conduct rigorous statistical analysis of market data to identify trading opportunities and risks.
  • Develop algorithms for algorithmic trading strategies, focusing on high-frequency and execution optimization.
  • Collaborate closely with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
  • Implement models in a production environment using languages such as Python, C++, or R.
  • Perform back-testing and validation of trading strategies and models.
  • Monitor model performance and conduct ongoing research to improve accuracy and efficiency.
  • Analyze and report on market volatility, correlations, and other risk factors.
  • Stay abreast of regulatory changes and their impact on derivative markets and model requirements.
  • Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
Qualifications:
  • Master's or Ph.D. in Quantitative Finance, Mathematics, Physics, Computer Science, or a related highly quantitative field.
  • Minimum of 6 years of experience in quantitative finance, specifically in derivatives modeling and trading.
  • In-depth knowledge of stochastic calculus, probability theory, and numerical methods.
  • Expertise in pricing and hedging various types of derivatives.
  • Strong programming skills in Python (NumPy, SciPy, Pandas) and C++ are essential. Experience with R is a plus.
  • Proven experience in developing and implementing trading algorithms.
  • Excellent analytical and problem-solving skills, with a meticulous attention to detail.
  • Strong understanding of financial markets and trading execution.
  • Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences.
  • Experience with large datasets and distributed computing environments is beneficial.
This remote opportunity offers a highly competitive salary, significant bonus potential, and the chance to work on challenging problems at the forefront of quantitative finance.
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Senior Quantitative Analyst, Derivatives Trading

73101 Oklahoma City, Oklahoma $150000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a prominent investment firm, is actively seeking a highly analytical and experienced Senior Quantitative Analyst to join their globally distributed, remote-first trading team. This role is critical for developing and implementing sophisticated mathematical models and trading strategies for derivatives markets. You will leverage your deep understanding of financial engineering, statistical modeling, and programming to drive alpha generation and risk management. Your responsibilities will include:
  • Designing, developing, backtesting, and deploying quantitative trading strategies across various derivative asset classes (options, futures, swaps).
  • Building and maintaining complex mathematical models for pricing, hedging, and risk management of financial instruments.
  • Conducting in-depth statistical analysis of market data to identify trading opportunities and patterns.
  • Developing high-performance trading algorithms and optimizing execution strategies.
  • Collaborating with portfolio managers and traders to understand market dynamics and refine quantitative approaches.
  • Implementing and enhancing risk management frameworks and tools to monitor and control portfolio exposure.
  • Working with software engineers to integrate quantitative models into production trading systems.
  • Staying abreast of market trends, regulatory changes, and new quantitative techniques in the financial industry.
  • Performing ad-hoc quantitative research and analysis to support strategic decision-making.
  • Documenting models, methodologies, and results clearly and concisely for both technical and non-technical audiences.
This position requires a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science. A minimum of 5 years of relevant experience in quantitative finance, ideally with a focus on derivatives, is essential. Proficiency in programming languages like Python, C++, or R, strong expertise in statistical modeling, time series analysis, machine learning, and experience with large datasets are mandatory. Excellent communication skills and the ability to thrive in a fast-paced, remote collaborative environment are critical. You will be a key contributor to our client's trading success from your remote workspace, located anywhere within the US.
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Senior Quantitative Analyst - Derivatives Trading

32201 Riverview, Florida $150000 annum plus WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client, a leading global investment bank, is actively seeking a highly skilled Senior Quantitative Analyst to join their sophisticated derivatives trading desk in Jacksonville, Florida . This is an on-site position where you will be instrumental in developing and implementing cutting-edge mathematical models and trading strategies. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, or Computer Science, coupled with extensive experience in financial modeling and programming. You will be responsible for designing, developing, and validating complex pricing and risk management models for various derivative products, including equities, fixed income, and commodities. A deep understanding of stochastic calculus, statistical modeling, and machine learning techniques is crucial. You will work closely with traders and portfolio managers to identify opportunities, assess risks, and enhance trading performance. This role involves significant programming in languages like C++, Python, or R, as well as experience with large datasets and high-frequency trading environments. You will also be involved in backtesting strategies, developing real-time risk systems, and contributing to the firm's overall quantitative research efforts. The ability to translate complex mathematical concepts into practical trading solutions is paramount. Our client fosters a collaborative and intellectually stimulating environment, offering unparalleled opportunities for professional growth and career advancement within the competitive world of investment banking. If you are a top-tier quant professional seeking to make a significant impact at a premier financial institution in Jacksonville, Florida , this is an exceptional opportunity.

Responsibilities:
  • Develop, implement, and validate quantitative models for derivative pricing and risk management.
  • Design and backtest sophisticated trading strategies.
  • Collaborate with traders and portfolio managers to identify market opportunities.
  • Build and maintain real-time risk management systems.
  • Conduct quantitative research and contribute to the firm's intellectual capital.
  • Program in C++, Python, or R for model development and implementation.
  • Analyze large datasets and identify patterns and trends.
  • Ensure compliance with regulatory requirements and internal policies.
Qualifications:
  • Ph.D. or Master's degree in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, etc.).
  • Minimum of 5 years of experience in quantitative finance or a related field.
  • Strong background in stochastic calculus, statistical modeling, and machine learning.
  • Proficiency in C++, Python, or R programming languages.
  • Experience with derivatives pricing and risk management.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively in a fast-paced trading environment.
This is an on-site position based at our client's offices in Jacksonville, Florida .
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Quantitative Analyst (Quant) - Derivatives Trading

94104 Sacramento, California $200000 Annually WhatJobs

Posted 7 days ago

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full-time
Our client, a leading global financial institution, is seeking a brilliant Quantitative Analyst (Quant) to join our elite derivatives trading team in **Sacramento, California, US**. This role is critical in developing and implementing sophisticated mathematical models and trading strategies for complex financial derivatives. You will work at the intersection of finance, mathematics, and computer science, playing a key role in driving trading profitability and managing risk. This is an intellectually demanding position requiring exceptional analytical prowess and a deep understanding of financial markets.

Responsibilities:
  • Develop, test, and implement pricing, hedging, and risk management models for a wide range of derivative products, including equities, fixed income, and FX.
  • Design and implement algorithmic trading strategies, leveraging quantitative techniques and machine learning.
  • Conduct rigorous backtesting and performance analysis of trading models and strategies.
  • Collaborate closely with traders, portfolio managers, and risk officers to understand market needs and implement solutions.
  • Analyze large financial datasets to identify market opportunities, patterns, and anomalies.
  • Develop and maintain high-quality, production-ready code in languages such as Python, C++, or R.
  • Monitor market dynamics and model performance, making necessary adjustments and refinements.
  • Contribute to the development of the firm's quantitative infrastructure and research platform.
  • Present complex quantitative findings and recommendations to senior management and trading desks.
  • Stay abreast of the latest research in quantitative finance, machine learning, and financial econometrics.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related discipline. A minimum of 4 years of relevant experience in quantitative finance, preferably in derivatives pricing or trading strategy development, is required. Proven expertise in pricing models (e.g., Black-Scholes, stochastic calculus), risk management techniques (VaR, CVA), and statistical modeling is essential. Proficiency in programming languages like Python (NumPy, SciPy, Pandas) and C++ is a must. Experience with machine learning libraries and techniques applied to finance is highly desirable. Strong communication and collaboration skills are crucial for working effectively within a fast-paced trading environment at our **Sacramento, California, US** office.
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Senior Quantitative Analyst - Derivatives Trading

45202 Cincinnati, Ohio $150000 Annually WhatJobs

Posted 7 days ago

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full-time
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic trading strategies team. This role focuses on developing and implementing sophisticated quantitative models for pricing, risk management, and trading derivatives across various asset classes. You will work closely with traders and portfolio managers to identify new trading opportunities, design innovative financial instruments, and optimize execution strategies. Responsibilities include rigorous mathematical modeling, statistical analysis, backtesting of trading algorithms, and implementing models in a production environment. The ideal candidate will possess a strong academic background in a quantitative discipline, combined with practical experience in financial markets, particularly in derivatives. Proficiency in programming languages such as Python, C++, or R, and experience with financial data analysis tools are essential. You will be expected to contribute to the ongoing refinement of our quantitative framework and stay abreast of market trends and regulatory changes. This position offers a hybrid work arrangement, providing flexibility while fostering in-office collaboration with the trading desk. Strong analytical, problem-solving, and communication skills are paramount.

Key Responsibilities:
  • Develop and implement quantitative models for derivatives pricing and risk management.
  • Design and backtest algorithmic trading strategies.
  • Analyze market data to identify trading opportunities and inefficiencies.
  • Collaborate with traders to provide quantitative support and insights.
  • Implement and optimize trading models in a production environment.
  • Perform statistical analysis and econometric modeling.
  • Contribute to the development of new financial products.
  • Ensure compliance with regulatory requirements and internal policies.
  • Stay current with academic research and industry best practices in quantitative finance.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative finance, with a focus on derivatives.
  • Strong knowledge of financial derivatives, including options, futures, and swaps.
  • Proficiency in programming languages like Python, C++, or R for quantitative analysis.
  • Experience with statistical modeling, time series analysis, and econometrics.
  • Excellent analytical and problem-solving skills.
  • Strong understanding of financial markets and trading.
  • Effective communication and interpersonal skills.
  • Ability to work effectively in a fast-paced, collaborative environment.
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