288 Derivatives Trader jobs in the United Kingdom
Quantitative Analyst - Trading Strategies
CF10 1WA Cardiff, Wales
£90000 annum + bon
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A premier financial services firm is looking for a highly skilled Quantitative Analyst to join their expanding team in Cardiff, Wales, UK . This role is critical in developing and implementing sophisticated trading strategies across various asset classes. You will leverage advanced mathematical modeling, statistical analysis, and programming skills to design, backtest, and deploy algorithms that drive profitable trading decisions.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement quantitative trading strategies for equities, fixed income, FX, and derivatives markets.
- Conduct rigorous backtesting and statistical analysis of trading algorithms to assess performance and risk.
- Collaborate with portfolio managers and traders to understand market needs and identify opportunities for quantitative solutions.
- Develop and maintain high-performance trading systems and infrastructure.
- Analyze large datasets to identify market inefficiencies and predictive patterns.
- Research and apply advanced statistical techniques, machine learning algorithms, and financial econometrics.
- Monitor and optimize the performance of deployed trading strategies in real-time.
- Document methodologies, strategies, and system designs thoroughly.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Ensure compliance with all relevant regulatory requirements and internal risk management policies.
- Master's or PhD degree in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
- Proven experience (3+ years) in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Strong programming skills in languages such as Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Proficiency with financial data analysis tools and platforms.
- Deep understanding of financial markets, instruments, and trading mechanisms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a fast-paced, high-pressure environment.
- Strong communication skills to articulate complex technical concepts clearly.
- Experience with large-scale data processing and high-frequency trading systems is a plus.
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0
Senior Quantitative Analyst - Algorithmic Trading Strategies
DH1 1SW Sunderland, North East
£90000 annum (plus
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Our client, a highly respected investment bank, is seeking an exceptional Senior Quantitative Analyst to join their cutting-edge algorithmic trading team. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will be responsible for developing, testing, and implementing sophisticated quantitative models and trading strategies across various financial markets. This role requires a deep understanding of financial mathematics, statistics, programming, and market microstructure. Your expertise will be crucial in driving profitability and maintaining a competitive edge in fast-paced trading environments.
Responsibilities:
Responsibilities:
- Design, develop, and backtest complex quantitative trading strategies using historical and real-time market data.
- Build and maintain high-performance trading algorithms and risk management systems.
- Perform rigorous statistical analysis and modeling to identify profitable trading opportunities.
- Collaborate with traders and technologists to deploy and optimize trading strategies.
- Conduct research into new data sources and analytical techniques to enhance trading performance.
- Monitor the performance of live trading strategies and make necessary adjustments.
- Develop tools and dashboards for performance analysis and reporting.
- Stay abreast of market trends, regulatory changes, and technological advancements in quantitative finance.
- Contribute to the firm's research and development efforts in areas such as machine learning and artificial intelligence for trading.
- Document methodologies, models, and system designs thoroughly.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Expert proficiency in programming languages such as Python, C++, or R, with a strong emphasis on quantitative libraries.
- Deep understanding of financial markets, derivatives, and trading strategies.
- Advanced knowledge of statistical modeling, time series analysis, and machine learning techniques.
- Experience with large datasets and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Demonstrated ability to work independently and manage multiple priorities in a remote setting.
- Proven track record of developing and implementing successful quantitative strategies.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Algorithmic Trading Strategies
SO14 0JN Southampton, South East
£70000 Annually
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Our client, a prestigious financial institution in Southampton, Hampshire, UK , is looking for an exceptional Senior Quantitative Analyst to join their cutting-edge quantitative research team. This role offers a hybrid working model, combining the benefits of collaborative office-based work with the flexibility of remote working.
The successful candidate will be instrumental in developing, backtesting, and implementing sophisticated quantitative models and algorithms for our trading strategies across various asset classes. You will leverage your deep understanding of financial markets, statistics, and programming to identify trading opportunities, optimise execution, and manage risk. This role requires a rigorous analytical approach, strong mathematical acumen, and the ability to translate complex quantitative concepts into practical trading applications.
Key Responsibilities:
Qualifications:
This is an exceptional opportunity to work at the forefront of quantitative finance, contributing to a dynamic and highly successful trading environment. Join our team and shape the future of algorithmic trading.
The successful candidate will be instrumental in developing, backtesting, and implementing sophisticated quantitative models and algorithms for our trading strategies across various asset classes. You will leverage your deep understanding of financial markets, statistics, and programming to identify trading opportunities, optimise execution, and manage risk. This role requires a rigorous analytical approach, strong mathematical acumen, and the ability to translate complex quantitative concepts into practical trading applications.
Key Responsibilities:
- Research, design, and develop quantitative trading models and algorithms.
- Perform rigorous backtesting and statistical analysis of trading strategies using historical market data.
- Implement and deploy trading strategies on production systems, working closely with quantitative developers.
- Monitor the performance of live trading strategies and identify areas for improvement.
- Conduct in-depth research into market microstructure, econometrics, and statistical modelling.
- Collaborate with portfolio managers and traders to understand their needs and develop tailored solutions.
- Manage and process large datasets for research and analysis.
- Stay current with academic research and industry trends in quantitative finance.
- Contribute to the team's overall research agenda and knowledge sharing.
- Ensure adherence to risk management policies and regulatory requirements.
Qualifications:
- Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis, algorithmic trading, or financial modelling within an investment bank, hedge fund, or asset management firm.
- Strong programming skills in languages such as Python, C++, or R, with experience in data analysis and scientific computing libraries.
- Proven experience with statistical modelling, time series analysis, machine learning techniques, and financial econometrics.
- Deep understanding of financial markets, derivatives, and trading execution.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
- Experience with large-scale data manipulation and database technologies.
- A proactive and results-driven mindset.
This is an exceptional opportunity to work at the forefront of quantitative finance, contributing to a dynamic and highly successful trading environment. Join our team and shape the future of algorithmic trading.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Algorithmic Trading Strategies
M1 1AB Manchester, North West
£90000 Annually
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Posted 4 days ago
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Job Description
Our client, a highly respected investment bank, is seeking a Senior Quantitative Analyst to join their sophisticated trading strategies team. This is a fully remote role, demanding exceptional analytical and programming prowess to develop, test, and implement cutting-edge algorithmic trading models. You will work closely with portfolio managers and traders to identify market opportunities, design quantitative strategies, and build the necessary infrastructure for their execution. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in financial modeling and programming, and a deep understanding of financial markets and derivatives. This position offers the flexibility to work remotely, requiring a self-motivated individual with a proven ability to deliver high-quality quantitative solutions.
Key Responsibilities:
Key Responsibilities:
- Design, develop, backtest, and deploy sophisticated algorithmic trading strategies across various asset classes.
- Conduct in-depth quantitative research to identify new trading opportunities and market inefficiencies.
- Develop and maintain complex financial models for pricing, risk management, and portfolio optimization.
- Implement trading algorithms using high-level programming languages such as Python, C++, or R.
- Collaborate with traders and portfolio managers to refine strategies based on market conditions and performance feedback.
- Perform rigorous statistical analysis and data mining on large financial datasets.
- Ensure the robustness, scalability, and efficiency of trading systems and models.
- Contribute to the development of trading infrastructure, including data feeds, execution platforms, and risk controls.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and computational statistics.
- Document research findings, model methodologies, and system designs comprehensively.
- Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Computer Science, or Physics.
- 5+ years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial services industry.
- Proven expertise in developing and implementing quantitative trading strategies.
- Strong programming skills in Python, C++, or R, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy).
- Deep understanding of financial markets, derivatives, econometrics, and statistical modeling techniques.
- Experience with large-scale data analysis and database management.
- Familiarity with machine learning algorithms and their application in finance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities, suitable for a remote team environment.
- Ability to work independently, manage multiple projects, and thrive under pressure.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst (Quant) - Algorithmic Trading Strategies
EC2N 2DT London, London
£90000 Annually
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Posted 4 days ago
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Job Description
Our client is a prestigious and highly successful investment bank based in the heart of the financial district, seeking a brilliant Senior Quantitative Analyst to join their elite, fully remote trading strategies team. This is an exceptional opportunity to leverage your advanced mathematical and statistical skills to develop, implement, and optimise sophisticated algorithmic trading strategies across various asset classes. You will be at the forefront of quantitative finance, working with cutting-edge technology and large datasets to drive alpha generation. The role offers the ultimate flexibility of working from anywhere, contributing to critical financial operations.
Key Responsibilities:
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. A minimum of 5 years of experience as a Quantitative Analyst in a front-office trading environment is mandatory. Proven expertise in developing and implementing statistical arbitrage, machine learning, or high-frequency trading strategies is essential. Fluency in programming languages such as Python, C++, or R, along with experience in data analysis libraries and tools, is required. A deep understanding of financial markets, derivatives, and econometrics is a must. Experience with large-scale data processing and distributed computing frameworks is highly desirable. Exceptional analytical, problem-solving, and programming skills are critical. Excellent communication skills are necessary to articulate complex quantitative ideas effectively in a remote setting. This role is based in London, England, UK , but operates on a fully remote basis.
Key Responsibilities:
- Design, develop, backtest, and deploy quantitative trading models and algorithms.
- Conduct in-depth statistical analysis and financial modelling to identify profitable trading opportunities.
- Utilise high-frequency and low-latency data to inform strategy development and execution.
- Collaborate with portfolio managers and traders to understand market dynamics and refine trading strategies.
- Implement and maintain robust risk management frameworks for trading strategies.
- Develop and optimise execution algorithms to minimise market impact and transaction costs.
- Research and evaluate new quantitative techniques, technologies, and data sources.
- Manage and process large volumes of financial market data.
- Contribute to the development and maintenance of the firm's quantitative trading infrastructure.
- Present complex quantitative concepts and strategy performance to senior management and stakeholders.
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. A minimum of 5 years of experience as a Quantitative Analyst in a front-office trading environment is mandatory. Proven expertise in developing and implementing statistical arbitrage, machine learning, or high-frequency trading strategies is essential. Fluency in programming languages such as Python, C++, or R, along with experience in data analysis libraries and tools, is required. A deep understanding of financial markets, derivatives, and econometrics is a must. Experience with large-scale data processing and distributed computing frameworks is highly desirable. Exceptional analytical, problem-solving, and programming skills are critical. Excellent communication skills are necessary to articulate complex quantitative ideas effectively in a remote setting. This role is based in London, England, UK , but operates on a fully remote basis.
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4
Quantitative Analyst - Financial Markets
WV1 2BB Wolverhampton, West Midlands
£70000 Annually
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Posted 2 days ago
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Job Description
Our client, a prestigious investment bank with a significant presence in **Wolverhampton, West Midlands, UK**, is actively seeking a highly analytical and mathematically gifted Quantitative Analyst to join their sophisticated financial modeling team. This role is instrumental in developing and implementing complex financial models, pricing derivatives, managing risk, and driving trading strategies across various asset classes. The successful candidate will possess a strong academic background, exceptional programming skills, and a deep understanding of financial markets.
Key Responsibilities:
Key Responsibilities:
- Developing, testing, and deploying quantitative models for pricing, risk management, and hedging of financial derivatives and structured products.
- Implementing trading algorithms and strategies using sophisticated programming languages.
- Conducting in-depth market research and data analysis to identify trading opportunities and assess risks.
- Collaborating closely with traders, portfolio managers, and other quantitative professionals to develop and refine financial strategies.
- Performing back-testing and performance attribution analysis on trading strategies.
- Building and maintaining high-performance computing infrastructure for quantitative analysis.
- Ensuring the accuracy, robustness, and compliance of all developed models.
- Communicating complex quantitative concepts and findings to both technical and non-technical audiences.
- Contributing to the innovation and development of new quantitative methodologies and tools.
- Monitoring market conditions and regulatory changes affecting financial modeling and trading.
- Assisting in the development and validation of risk models and stress testing scenarios.
- Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Proven experience (minimum 3-5 years) as a Quantitative Analyst or in a similar role within the financial services industry.
- Expertise in programming languages such as Python, C++, R, or Java.
- Strong knowledge of financial derivatives, fixed income, equities, and foreign exchange markets.
- Solid understanding of stochastic calculus, probability theory, and statistical modeling.
- Experience with large-scale data analysis and numerical methods.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex ideas clearly.
- Familiarity with machine learning techniques is a plus.
- Ability to work effectively under pressure and meet tight deadlines.
- Discretion and a high level of integrity are essential.
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5
Quantitative Analyst - Financial Markets
M1 1AA Manchester, North West
£75000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a distinguished financial institution, is looking for a highly analytical and mathematically adept Quantitative Analyst to join their dynamic team in **Manchester, Greater Manchester, UK**. This role operates on a hybrid model, offering a balance of remote work and office presence. You will be responsible for developing and implementing complex mathematical models and algorithms to support trading strategies, risk management, and financial product development. This position demands a rigorous understanding of financial markets, statistical modeling, and programming. Key responsibilities include building predictive models, backtesting trading strategies, analyzing large datasets of market data, and contributing to the pricing and hedging of derivatives. You will work closely with traders, portfolio managers, and risk officers 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, Computer Science, or Financial Engineering. Proven experience in a quantitative role within the financial industry is essential, with a strong focus on financial modeling and risk analysis. Proficiency in programming languages like Python, C++, or R, and experience with statistical and machine learning libraries are required. Knowledge of financial instruments, derivatives pricing, and market microstructure is highly desirable. Exceptional problem-solving abilities and strong communication skills are necessary to articulate complex quantitative concepts to non-technical stakeholders. This is an opportunity to make a significant impact in a challenging and rewarding financial environment.
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6
Quantitative Analyst - Financial Markets (Remote)
SR1 1DP Sunderland, North East
£80000 Annually
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Posted today
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Job Description
Our client, a cutting-edge financial services firm, is seeking a highly analytical and skilled Quantitative Analyst to join their remote trading strategies team. This role is critical in developing, testing, and implementing sophisticated mathematical models and algorithms to drive trading decisions and optimize portfolio performance. You will leverage your expertise in statistics, mathematics, and programming to analyze vast datasets, identify market patterns, and develop predictive models for financial instruments across various asset classes. Responsibilities include designing and backtesting trading strategies, managing risk exposure through quantitative methods, and contributing to the development of our proprietary trading infrastructure. You will work closely with portfolio managers and traders, translating complex quantitative insights into actionable trading strategies. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or a related discipline. Demonstrated experience in financial modeling, statistical analysis, and programming languages like Python, R, or C++ is essential. A deep understanding of financial markets, derivatives, and risk management principles is required. This is a fully remote position, allowing for global talent acquisition and offering significant autonomy. You must be self-motivated, possess exceptional problem-solving skills, and be adept at communicating complex technical concepts to both technical and non-technical audiences. If you are a brilliant quantitative mind passionate about financial markets and seeking a challenging, remote-first role with significant impact, we invite you to apply.
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7
Senior Quantitative Analyst - Financial Markets
CB2 1 Cambridge, Eastern
£80000 Annually
WhatJobs
Posted today
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Job Description
Our esteemed client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic team. This role offers an exciting opportunity to apply advanced mathematical and statistical models to complex financial markets, contributing to sophisticated trading strategies and risk management frameworks. The position is based in Cambridge, Cambridgeshire, UK , with a flexible hybrid working arrangement, allowing for a blend of in-office collaboration and remote work. You will be instrumental in developing, back-testing, and implementing pricing and hedging models for a variety of financial instruments, including derivatives, fixed income, and equities. The ideal candidate will possess a rigorous academic background, exceptional programming skills, and a deep understanding of financial theory and market microstructure.
Key responsibilities include:
Key responsibilities include:
- Developing and implementing sophisticated quantitative models for pricing, risk management, and trading strategies.
- Performing complex data analysis, statistical modelling, and econometric analysis on large financial datasets.
- Conducting rigorous back-testing and validation of models to ensure their accuracy and robustness.
- Collaborating closely with traders, portfolio managers, and risk managers to understand their needs and deliver tailored analytical solutions.
- Writing high-quality, maintainable code in languages such as Python, C++, or R to implement models and analytical tools.
- Researching and identifying new quantitative methodologies and financial instruments.
- Contributing to the development and maintenance of the firm's quantitative libraries and infrastructure.
- Explaining complex quantitative concepts to non-technical stakeholders in a clear and concise manner.
- Staying abreast of market developments, regulatory changes, and academic research in quantitative finance.
- Mentoring junior quantitative analysts and contributing to team knowledge sharing.
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8
Senior Quantitative Analyst (Financial Markets)
BN1 1AA East Sussex, South East
£70000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leading and dynamic financial institution with a strong global presence, is seeking a highly talented Senior Quantitative Analyst to join their cutting-edge trading and risk management team. This fully remote position offers an exceptional opportunity to leverage advanced mathematical, statistical, and computational techniques to develop sophisticated financial models, trading strategies, and risk assessment tools. You will play a critical role in driving innovation within the financial markets, working on complex challenges that require deep analytical rigor and a profound understanding of financial instruments and market behaviour. Responsibilities will include designing, implementing, and validating quantitative models for pricing, hedging, risk management, and algorithmic trading. You will collaborate closely with traders, portfolio managers, and technology teams to translate business needs into robust quantitative solutions. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering, coupled with a minimum of 5 years of relevant industry experience. Exceptional programming skills in languages like Python, C++, or R, along with a solid understanding of machine learning techniques and financial market microstructure, are essential. This role demands a proactive, detail-oriented individual with a passion for quantitative finance and a proven ability to tackle challenging problems in a fast-paced, intellectually stimulating environment. As this is a remote role, excellent self-management, communication, and collaboration skills are paramount. You will be instrumental in shaping our client's quantitative strategies and contributing to their ongoing success in the global financial arena. Our client is committed to attracting and retaining top talent, offering a challenging yet rewarding career path with ample opportunities for professional growth and development inBrighton, East Sussex, UK and worldwide.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest quantitative models for trading, pricing, and risk management.
- Design and optimize algorithmic trading strategies.
- Perform statistical analysis of market data and identify trading opportunities.
- Build robust risk models to assess and mitigate financial exposures.
- Collaborate with front office and technology teams to deploy quantitative solutions.
- Contribute to the research and development of new quantitative methodologies.
- Ensure the accuracy and performance of financial models and systems.
- Maintain up-to-date knowledge of market trends and regulatory changes.
- Write clean, efficient, and well-documented code for quantitative applications.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Minimum of 5 years of experience in quantitative finance, asset management, or investment banking.
- Expertise in programming languages such as Python, C++, Java, or R.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Proven experience with statistical modeling, time series analysis, and machine learning.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills for effective collaboration.
- Ability to work independently and manage multiple projects in a remote setting.
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