What Jobs are available for IT Quant in the United States?
Showing 1947 IT Quant jobs in the United States
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Quant (DeFi)
New York, New York
Arrakis Finance
Posted today
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Job Description
Job Description
Job Description
Arrakis aims to disrupt the current market-making industry by providing the infrastructure to enable every project in the world that wants to launch a token to benefit from non-custodial, trust-less, and automated on-chain market-making strategies. We believe in a world where every organization, from a small startup to a large enterprise, will be tokenized and traded on-chain. For this world, Arrakis is building the tools to create the necessary liquidity to enable this token economy to rival and out-compete the traditional financial industry.
As a Quantitative Analyst at Arrakis, you will be researching emerging DeFi innovation, develop POCs for market making strategies and tooling, drive our liquidity provisioning strategies, develop quantitative analyses of on-chain trading activities and own client relationships to deliver tailored market-making services. You'll also work with our business development team on client onboarding, account management and enhance our quantitative algorithms with the core development team. Your contributions will be vital in establishing Arrakis as the leading decentralised market-making protocol.
What you’ll accomplish
- Working with the leading DeFi projects in web3 to strengthen their on-chain liquidity
- Keep ahead of the latest developments in quantitative finance, blockchain technology, and Web3 innovations to continuously refine and adapt our market making strategies (Uniswap v3 / v4 for example) to maintain a competitive edge in the rapidly evolving web3 market-making industry
- Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists and business development representatives to refine, enhance and develop the best market making service to our clients
- Own customer relationships and provide excellent client service by monitoring the ongoing market-making activities and respond to custom client requests
- Research & Innovation: Conduct research on emerging DeFi protocols / innovations, identify next-generation trends, and develop POCs for innovative market making strategies and tooling.
- On-Chain Analytics: Perform data aggregation and analysis to inform strategic decisions, create internal presentations, and generate creative solutions for enhanced liquidity provision
Requirements
Our ideal candidate has:
- At least 2 years professional experience in Trading, Quantitative Finance, Market Making (preferred)
- Experience in Quantitative analysis and Data Science preferably on-chain data / DeFi
- Web3 native using DeFi protocols every day/week
- Experience working with JavaScript / TypeScript, SQL, Python / Rust
- Bonus: Rust, Dune Analytics
- Communications & Presentation Skills - feel comfortable to present in front mixed stakeholder audience
- Some experience with hands on software development in a quantitative finance environment
- Comfortable in fast-paced environments and having ambitious targets
- Excellent communication skills being able to engage in client relationship management and communication
- Well-organised with strong time management skills and a proactive personality
- Bonus: Experience working in a successful DeFi protocol
Benefits
Join an amazing team of industry veterans focused on revolutionising web3 market making, collaborating with major projects like MakerDAO, Uniswap, Aave, Lido, operating fully remotely with members spanning Zug, Paris, New York, Berlin supported by world-class investors including Uniswap Labs, Robot Ventures, Accel, Longhash, and more.
What we offer:
- Competitive salary
- Work remotely or with the Founders in person, in Switzerland
- Chance to travel the world to go to exciting events, connecting with key industry players
- Join amazing in-person offsites all over the world
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0
Quantitative Analyst (Quant)
63101 St. Louis, Missouri
$130000 Annually
WhatJobs Direct
Posted today
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Job Description
Our client is seeking a brilliant and highly analytical Quantitative Analyst to join their dynamic team in St. Louis, Missouri, US . This role is integral to developing and implementing sophisticated financial models, algorithms, and trading strategies. You will leverage advanced mathematical, statistical, and programming skills to solve complex problems in financial markets. Responsibilities include designing, testing, and deploying pricing and risk management models for various financial instruments. You will collaborate closely with portfolio managers, traders, and risk managers to provide data-driven insights and recommendations. This position requires a deep understanding of financial theory, a strong grasp of econometrics, and proficiency in programming languages such as Python, R, or C++. The ideal candidate will possess a Master's or Ph.D. in a quantitative field like Mathematics, Statistics, Physics, or Financial Engineering. Experience with big data technologies and cloud computing platforms is highly advantageous. You will be expected to stay abreast of market trends, regulatory changes, and emerging technologies to continuously enhance our quantitative capabilities. This role offers a challenging and rewarding opportunity to work at the forefront of quantitative finance within a leading financial institution, contributing to strategic decision-making and driving innovation.
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1
Quantitative Analyst (Quant)
33101 Miami, Florida
$120000 Annually
WhatJobs Direct
Posted today
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Job Description
Our client, a highly respected financial institution, is seeking a talented and innovative Quantitative Analyst (Quant) to join their dynamic, fully remote team. This role is pivotal in developing and implementing complex mathematical models and trading strategies for our investment and risk management operations. The ideal candidate will possess exceptional analytical abilities, a deep understanding of financial markets, and advanced programming skills. This is a fully remote position, allowing you to contribute your expertise from anywhere within the US.
Key Responsibilities:
Qualifications:
This fully remote position offers a highly competitive salary, performance-based bonuses, and a comprehensive benefits package. If you are a highly skilled quant with a passion for financial markets and a desire to drive innovation, we encourage you to apply.
Key Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Analyze market data to identify investment opportunities and risks.
- Collaborate with portfolio managers, traders, and risk managers to provide data-driven insights and solutions.
- Perform statistical analysis and backtesting of trading algorithms.
- Develop tools and systems to support the quantitative research and trading processes.
- Monitor the performance of trading models and identify areas for enhancement.
- Ensure compliance with regulatory requirements and internal risk policies.
- Stay current with advancements in financial mathematics, econometrics, and computational finance.
- Communicate complex quantitative concepts effectively to both technical and non-technical stakeholders.
- Contribute to the firm's intellectual property through research and innovation.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Proven experience as a Quantitative Analyst or in a similar role within the financial industry.
- Expertise in financial modeling, statistical analysis, and time-series forecasting.
- Proficiency in programming languages such as Python, C++, R, or MATLAB.
- Strong understanding of financial markets, derivatives, and fixed income products.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong verbal and written communication abilities.
- Ability to work independently and manage projects in a remote environment.
- Demonstrated ability to translate complex theoretical concepts into practical applications.
This fully remote position offers a highly competitive salary, performance-based bonuses, and a comprehensive benefits package. If you are a highly skilled quant with a passion for financial markets and a desire to drive innovation, we encourage you to apply.
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2
Quantitative Analyst (Quant)
94103 San Francisco, California
$130000 Annually
WhatJobs Direct
Posted today
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Job Description
Our client, a leading global investment bank, is seeking a highly skilled Quantitative Analyst (Quant) to join their esteemed trading strategies team in San Francisco, California, US . This role is critical for developing, implementing, and enhancing sophisticated mathematical models and trading algorithms used across various asset classes. You will work at the intersection of finance and technology, leveraging your deep understanding of stochastic calculus, statistical modeling, and machine learning to drive profitability and manage risk. Your responsibilities will include designing pricing and hedging models for complex derivatives, developing high-frequency trading strategies, and implementing real-time risk management systems. You will collaborate closely with traders, portfolio managers, and software engineers to translate theoretical concepts into practical, production-ready solutions. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering, coupled with a strong programming background (e.g., C++, Python, R). Experience in a front-office quant role within a major financial institution is essential. You must demonstrate a proven ability to research, develop, and deploy complex quantitative models in a live trading environment. Excellent problem-solving skills, a rigorous analytical approach, and the capacity to communicate technical concepts effectively to both technical and non-technical audiences are paramount. This role offers the opportunity to work on cutting-edge financial technologies and make a significant impact on the firm's trading performance.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement mathematical models for pricing and hedging financial derivatives.
- Create and refine algorithmic trading strategies across various asset classes.
- Develop and maintain real-time risk management systems and models.
- Collaborate with traders and portfolio managers to identify and capitalize on market opportunities.
- Work with software engineers to integrate quantitative models into trading platforms.
- Conduct research into new quantitative techniques and financial modeling approaches.
- Analyze market data to identify patterns and inform trading strategies.
- Validate and backtest trading algorithms and models.
- Prepare technical documentation and present research findings to stakeholders.
Qualifications:
- Ph.D. or Master's degree in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
- 5+ years of experience as a Quantitative Analyst in investment banking or hedge funds.
- Expertise in stochastic calculus, statistical modeling, and time series analysis.
- Proficiency in programming languages such as C++, Python, and R.
- Strong understanding of financial markets, derivatives, and risk management.
- Experience with machine learning techniques applied to finance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to work under pressure and deliver results in a dynamic trading environment.
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3
Quantitative Analyst (Quant)
10005 New York, New York
$150000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client, a prestigious investment bank located in the heart of **New York City, New York, US**, is seeking a highly skilled and analytical Quantitative Analyst (Quant) to join their elite trading strategies team. This critical role involves developing, implementing, and refining complex mathematical models and algorithms for pricing financial derivatives, risk management, and algorithmic trading strategies. The successful candidate will possess a strong academic background in a quantitative discipline, combined with practical experience in financial markets and a deep understanding of statistical modeling, programming, and data analysis.
Your responsibilities will include researching and developing new quantitative trading strategies, performing back-testing and statistical analysis of trading ideas, and collaborating closely with portfolio managers and traders to implement and monitor strategies. You will also be involved in validating existing models, identifying potential risks, and ensuring compliance with regulatory requirements. The ideal candidate will have exceptional programming skills in languages such as Python, C++, or R, and proficiency with large datasets and database technologies. A solid understanding of financial instruments, market microstructure, and trading execution is essential. This role requires meticulous attention to detail, a rigorous analytical approach, and the ability to work effectively under pressure in a fast-paced trading environment. You will be expected to stay abreast of the latest research and industry developments in quantitative finance. This is a unique opportunity to work on cutting-edge financial technology and contribute to the success of a leading institution. The collaborative nature of the team means strong communication and teamwork skills are highly valued, despite the analytical rigor of the work.
Qualifications:
Your responsibilities will include researching and developing new quantitative trading strategies, performing back-testing and statistical analysis of trading ideas, and collaborating closely with portfolio managers and traders to implement and monitor strategies. You will also be involved in validating existing models, identifying potential risks, and ensuring compliance with regulatory requirements. The ideal candidate will have exceptional programming skills in languages such as Python, C++, or R, and proficiency with large datasets and database technologies. A solid understanding of financial instruments, market microstructure, and trading execution is essential. This role requires meticulous attention to detail, a rigorous analytical approach, and the ability to work effectively under pressure in a fast-paced trading environment. You will be expected to stay abreast of the latest research and industry developments in quantitative finance. This is a unique opportunity to work on cutting-edge financial technology and contribute to the success of a leading institution. The collaborative nature of the team means strong communication and teamwork skills are highly valued, despite the analytical rigor of the work.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 5 years of experience as a Quantitative Analyst in investment banking or hedge funds.
- Proven experience in developing and implementing quantitative trading strategies.
- Expertise in statistical modeling, time series analysis, and stochastic calculus.
- Proficiency in programming languages such as Python, C++, R, or Java.
- Strong knowledge of financial markets, derivatives, and risk management.
- Experience with large datasets and database management.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and as part of a collaborative team.
- Strong communication skills for presenting complex findings to non-technical stakeholders.
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4
Quantitative Analyst (Quant)
48226 Detroit, Michigan
$140000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious investment bank, is seeking a highly skilled and motivated Quantitative Analyst (Quant) to join their advanced analytics division in Detroit, Michigan, US . This critical role involves developing sophisticated mathematical models and pricing tools for complex financial derivatives and risk management strategies. You will work closely with traders, portfolio managers, and IT teams to implement innovative solutions that drive trading strategies and mitigate financial risks. The ideal candidate possesses a strong academic background in a quantitative field such as mathematics, physics, statistics, or computer science, combined with practical experience in financial modeling. Responsibilities include designing, testing, and deploying pricing models, performing backtesting and validation, and conducting rigorous sensitivity analysis. You will also contribute to the development of algorithmic trading strategies and the optimization of trading infrastructure. A deep understanding of stochastic calculus, probability theory, and financial econometrics is paramount. Proficiency in programming languages like Python, C++, or R, along with experience in data analysis and machine learning techniques, is essential. This is an exceptional opportunity for a talented Quant to make a significant impact in a fast-paced, intellectually stimulating environment, contributing to the firm's success in the global financial markets. The position requires an on-site presence to foster close collaboration and rapid innovation within the team.
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5
Quantitative Analyst (Quant)
98101 Seattle, Washington
$120000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is actively seeking a highly skilled Quantitative Analyst (Quant) to join their innovative team, operating remotely with a base in **Seattle, Washington, US**. This role is designed for individuals with exceptional mathematical, statistical, and programming abilities who are passionate about applying complex quantitative techniques to financial markets. You will be instrumental in developing, testing, and implementing sophisticated financial models for trading strategies, risk management, and pricing derivatives. This position requires a deep understanding of financial instruments, market dynamics, and advanced statistical methodologies. Responsibilities include designing algorithms, conducting rigorous backtesting and validation, and collaborating closely with portfolio managers and traders to translate quantitative insights into profitable trading decisions. The ideal candidate will possess strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative, fast-paced, and remote environment. Proficiency in programming languages such as Python, C++, or R is essential, alongside experience with large datasets and machine learning techniques. A Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering is strongly preferred. This remote role offers the flexibility to work from anywhere, with the expectation of regular virtual collaboration with the team.
Responsibilities:
Responsibilities:
- Develop and implement sophisticated quantitative models for trading strategies and risk management.
- Design, backtest, and validate trading algorithms and financial models.
- Analyze market data to identify trading opportunities and patterns.
- Collaborate with portfolio managers and traders to execute quantitative strategies.
- Price complex financial derivatives and manage associated risks.
- Conduct research into new quantitative methodologies and technologies.
- Write efficient and production-ready code in languages such as Python, C++, or R.
- Monitor and evaluate the performance of quantitative trading systems.
- Present complex quantitative findings to technical and non-technical audiences.
- Contribute to the development and enhancement of the firm's quantitative infrastructure.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Proven experience as a Quantitative Analyst or in a similar role, applying quantitative methods to financial markets.
- Strong programming skills in Python, C++, R, or similar languages.
- Deep understanding of financial instruments, derivatives, and market microstructure.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with large-scale data analysis and database management.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Ability to work independently and as part of a remote team.
- Strong communication and presentation skills.
- Familiarity with financial data vendors (e.g., Bloomberg, Refinitiv) is a plus.
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6
Quantitative Analyst (Quant)
98101 Seattle, Washington
$130000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is seeking a highly analytical and quantitative Quantitative Analyst to join our prestigious Banking & Finance division in Seattle, Washington, US . This role is integral to developing and implementing complex financial models, risk management strategies, and trading algorithms. The ideal candidate will possess a strong background in mathematics, statistics, computer science, or a related quantitative field, combined with a deep understanding of financial markets. You will be at the forefront of quantitative finance, driving innovation and providing critical insights to support business decisions.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct rigorous statistical analysis of market data to identify trends and opportunities.
- Build and maintain sophisticated financial models using programming languages like Python, R, C++, or MATLAB.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide quantitative solutions.
- Perform backtesting and validation of trading algorithms and risk models.
- Contribute to the development of real-time risk monitoring systems.
- Prepare detailed reports and presentations on model performance and market insights.
- Stay current with advancements in quantitative finance, machine learning, and data science.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior analysts and contribute to the team's technical expertise.
- Identify and analyze complex financial instruments and derivatives.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Proven experience as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong programming skills in Python, R, C++, or MATLAB.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Expertise in statistical modeling, time series analysis, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and as part of a collaborative team.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Experience with large datasets and database technologies is a plus.
- Familiarity with machine learning techniques is desirable.
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7
Quantitative Analyst (Quant)
76101 Fort Worth, Texas
$130000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly analytical Quantitative Analyst (Quant) to join their sophisticated trading and risk management team in Fort Worth, Texas. This role offers a hybrid work arrangement, blending in-office collaboration with remote flexibility.
The Quantitative Analyst will be responsible for developing, testing, and implementing complex mathematical models and algorithms to support trading strategies, risk assessment, and financial product pricing. You will conduct in-depth statistical analysis of market data, identify trading opportunities, and assess potential risks. Key responsibilities include designing and coding quantitative models, performing backtesting and performance analysis, and contributing to the development of trading systems. The role requires a deep understanding of financial markets, derivatives, and advanced statistical techniques. Proficiency in programming languages such as Python, R, C++, or MATLAB is essential. You will collaborate closely with traders, portfolio managers, and risk managers to provide data-driven insights and solutions. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial. This is an exceptional opportunity to work in a challenging and rewarding environment, contributing to cutting-edge financial innovation in the heart of Texas.
Location: Fort Worth, Texas, US
The Quantitative Analyst will be responsible for developing, testing, and implementing complex mathematical models and algorithms to support trading strategies, risk assessment, and financial product pricing. You will conduct in-depth statistical analysis of market data, identify trading opportunities, and assess potential risks. Key responsibilities include designing and coding quantitative models, performing backtesting and performance analysis, and contributing to the development of trading systems. The role requires a deep understanding of financial markets, derivatives, and advanced statistical techniques. Proficiency in programming languages such as Python, R, C++, or MATLAB is essential. You will collaborate closely with traders, portfolio managers, and risk managers to provide data-driven insights and solutions. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial. This is an exceptional opportunity to work in a challenging and rewarding environment, contributing to cutting-edge financial innovation in the heart of Texas.
Location: Fort Worth, Texas, US
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8
Quantitative Analyst (Quant)
68101 Omaha, Nebraska
$120000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a brilliant and analytical Quantitative Analyst (Quant) to join their innovative, fully remote team. This role is crucial in developing and implementing complex mathematical models and algorithms for trading strategies, risk management, and portfolio optimization. The ideal candidate will possess exceptional programming skills, a strong foundation in financial mathematics, and the ability to translate abstract concepts into tangible solutions. You will work closely with traders, portfolio managers, and risk officers to enhance trading performance and manage financial risks. This is a unique opportunity to contribute to cutting-edge financial technology from the comfort of your home office.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and test quantitative trading strategies and algorithms.
- Build and maintain sophisticated financial models for pricing, hedging, and risk assessment.
- Conduct in-depth statistical analysis of market data to identify trading opportunities.
- Implement and backtest trading models using various programming languages (Python, C++).
- Collaborate with engineering teams to deploy models into production environments.
- Monitor and analyze the performance of trading strategies and models, making necessary adjustments.
- Work with risk management teams to develop and implement risk control frameworks.
- Research and evaluate new quantitative methodologies and technologies.
- Prepare documentation and reports on model development, validation, and performance.
- Ensure compliance with regulatory requirements and internal policies.
Qualifications:
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
- Proven experience as a Quantitative Analyst or in a similar role within the financial industry.
- Expertise in programming languages like Python, C++, R, or Java.
- Strong knowledge of financial markets, derivatives pricing, and portfolio theory.
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Excellent analytical and problem-solving skills with meticulous attention to detail.
- Ability to work independently and collaboratively in a remote setting.
- Strong communication skills to explain complex concepts to non-technical stakeholders.
- Experience with large datasets and database management is a plus.
- Must be authorized to work in the US and able to work remotely from Omaha, Nebraska, US or any other US location.
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