286 Derivatives Trading jobs in the United Kingdom
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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0
Quantitative Analyst - Financial Markets
M1 1AA Manchester, North West
£75000 Annually
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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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1
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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2
Senior Quantitative Analyst - Financial Markets
CB2 1 Cambridge, Eastern
£80000 Annually
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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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3
Senior Quantitative Analyst (Financial Markets)
BN1 1AA East Sussex, South East
£70000 Annually
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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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4
Senior Quantitative Analyst - Financial Markets
NE1 4EQ Newcastle upon Tyne, North East
£75000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a prestigious investment bank, is seeking a highly analytical Senior Quantitative Analyst to join their Trading and Risk Management division. This role involves developing sophisticated mathematical models and algorithms to support trading strategies, risk assessment, and portfolio optimization within global financial markets. You will work closely with traders, portfolio managers, and risk officers to implement and refine quantitative solutions. The ideal candidate possesses a strong academic background in a quantitative discipline, advanced programming skills, and a deep understanding of financial instruments. This position is based in our client's bustling office in Newcastle upon Tyne, Tyne and Wear, UK .
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, test, and implement complex mathematical models for pricing derivatives, managing risk, and optimizing portfolios.
- Design and build algorithms for automated trading systems and algorithmic execution strategies.
- Conduct quantitative analysis of market data to identify trading opportunities and risk exposures.
- Collaborate with front-office and risk management teams to understand their needs and provide quantitative solutions.
- Validate and back-test quantitative models to ensure their accuracy and effectiveness.
- Contribute to the development of risk management frameworks and stress testing methodologies.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and machine learning.
- Document models, methodologies, and research findings thoroughly.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- 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 as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong programming skills in languages such as Python, C++, R, or Java.
- Proficiency with financial libraries and data analysis tools (e.g., NumPy, Pandas, SciPy).
- In-depth knowledge of financial markets, derivatives pricing, and risk management techniques.
- Experience with machine learning techniques and their application in finance is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work independently and manage multiple projects in a fast-paced environment.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst, Financial Markets
G1 2LP Glasgow, Scotland
£80000 Annually
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Posted 6 days ago
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Job Description
Our client, a leading international bank, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated financial markets division. This is a fully remote role, offering the opportunity to work on complex financial modeling and analysis from anywhere. You will be responsible for developing, implementing, and maintaining sophisticated quantitative models for pricing, risk management, and trading strategies across various asset classes, including equities, fixed income, and derivatives. The ideal candidate possesses 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 work closely with traders, portfolio managers, and risk officers to provide analytical support, identify trading opportunities, and manage market risk effectively. Key responsibilities include model validation, back-testing, scenario analysis, and contributing to the development of new financial products and trading systems. You must have a strong command of programming languages commonly used in quantitative finance, such as Python, C++, and R, and be proficient in using statistical and machine learning techniques. This role demands exceptional analytical rigor, strong problem-solving skills, and the ability to communicate complex technical concepts clearly to a diverse audience.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced quantitative models for pricing and risk management of financial instruments.
- Conduct rigorous statistical analysis and back-testing of trading strategies.
- Perform scenario analysis and stress testing to assess market risk exposures.
- Collaborate with traders and portfolio managers to provide analytical support and insights.
- Develop and maintain model documentation and validation reports.
- Contribute to the design and implementation of new financial products.
- Identify and implement improvements to existing quantitative models and systems.
- Stay abreast of the latest advancements in quantitative finance and technology.
- Communicate complex analytical results to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or a related quantitative discipline.
- Minimum of 5 years of experience in a quantitative finance role, preferably within investment banking or hedge funds.
- Expertise in programming languages such as Python, C++, R, and SQL.
- Strong knowledge of financial markets, derivatives, and trading strategies.
- Proven experience in developing and validating complex quantitative models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and thrive in a fully remote, fast-paced environment.
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6
Remote Quantitative Analyst - Financial Markets
AB10 1BT Aberdeen, Scotland
£60000 Annually
WhatJobs
Posted 6 days ago
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Job Description
Our client, a leading innovator in algorithmic trading and financial technology, is seeking a highly skilled Remote Quantitative Analyst to join their elite team. This is a fully remote position, allowing you to contribute to cutting-edge financial modeling and strategy development from anywhere. The role is based in support of their operations impacting **Aberdeen, Scotland, UK**, and other global financial centers. You will be responsible for developing, backtesting, and implementing sophisticated quantitative models for trading strategies, risk management, and portfolio optimization. This involves analyzing vast datasets, identifying market patterns, and translating complex mathematical concepts into practical trading algorithms. Collaboration will primarily occur through advanced digital platforms, requiring strong remote communication skills.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering. Proven experience (3+ years) in quantitative analysis, algorithmic trading, or financial modeling is essential. Expertise in programming languages like Python, C++, or R is mandatory, along with a deep understanding of statistical modeling, machine learning techniques, and financial market microstructure. Experience with data analysis libraries (e.g., Pandas, NumPy) and proficiency in building and optimizing trading algorithms are crucial. You must possess exceptional problem-solving abilities, rigorous analytical thinking, and the capacity to work independently in a remote setting, managing complex projects with precision.
This role demands a highly motivated individual with a keen interest in financial markets and a passion for quantitative research. You will thrive in a challenging and dynamic environment, contributing to the firm's competitive edge. Excellent communication skills are required to articulate complex findings to both technical and non-technical colleagues remotely. Join a forward-thinking company that values innovation and offers significant opportunities for professional growth and impact within the global financial landscape. We are looking for candidates who are self-disciplined, results-oriented, and eager to push the boundaries of quantitative finance.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering. Proven experience (3+ years) in quantitative analysis, algorithmic trading, or financial modeling is essential. Expertise in programming languages like Python, C++, or R is mandatory, along with a deep understanding of statistical modeling, machine learning techniques, and financial market microstructure. Experience with data analysis libraries (e.g., Pandas, NumPy) and proficiency in building and optimizing trading algorithms are crucial. You must possess exceptional problem-solving abilities, rigorous analytical thinking, and the capacity to work independently in a remote setting, managing complex projects with precision.
This role demands a highly motivated individual with a keen interest in financial markets and a passion for quantitative research. You will thrive in a challenging and dynamic environment, contributing to the firm's competitive edge. Excellent communication skills are required to articulate complex findings to both technical and non-technical colleagues remotely. Join a forward-thinking company that values innovation and offers significant opportunities for professional growth and impact within the global financial landscape. We are looking for candidates who are self-disciplined, results-oriented, and eager to push the boundaries of quantitative finance.
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7
Principal Quantitative Analyst - Financial Markets
M3 1FQ Manchester, North West
£90000 Annually
WhatJobs
Posted 6 days ago
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Job Description
Our client, a prestigious investment bank, is seeking a highly skilled Principal Quantitative Analyst to join their sophisticated trading analytics team. This role offers the flexibility of full remote work, allowing you to contribute from anywhere within the UK while being an integral part of our operations. You will be responsible for developing and implementing advanced mathematical models and analytical tools to support trading strategies, risk management, and product development across various financial markets. Your expertise will be critical in driving innovation and maintaining a competitive edge in a rapidly evolving financial landscape. Key responsibilities include:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, with a minimum of 7 years of relevant experience in a quantitative role within the financial services industry. Demonstrable expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, C++, R) and experience with large datasets are required. Strong communication skills are necessary to articulate complex quantitative concepts to diverse audiences. A deep understanding of financial markets, including equities, fixed income, and derivatives, is crucial. This is an outstanding opportunity for a driven quantitative professional to make a significant impact in a leading financial institution.
- Designing, developing, and validating complex pricing, hedging, and risk models for derivatives and other financial instruments.
- Implementing quantitative models in programming languages such as Python, C++, or R, ensuring efficient and robust execution.
- Collaborating with traders, portfolio managers, and risk officers to understand their analytical needs and translate them into practical solutions.
- Conducting in-depth research into new quantitative methodologies and financial products.
- Performing statistical analysis of market data to identify trends, patterns, and trading opportunities.
- Developing and maintaining back-testing frameworks to evaluate the performance of trading strategies and models.
- Contributing to the design and enhancement of the firm's trading and risk management systems.
- Documenting models and methodologies comprehensively to ensure clarity and auditability.
- Mentoring junior quantitative analysts and sharing expertise within the team.
- Staying abreast of regulatory changes and their potential impact on quantitative strategies and risk management.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, with a minimum of 7 years of relevant experience in a quantitative role within the financial services industry. Demonstrable expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, C++, R) and experience with large datasets are required. Strong communication skills are necessary to articulate complex quantitative concepts to diverse audiences. A deep understanding of financial markets, including equities, fixed income, and derivatives, is crucial. This is an outstanding opportunity for a driven quantitative professional to make a significant impact in a leading financial institution.
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8
Remote Senior Quantitative Analyst - Financial Markets
MK1 1AA Milton Keynes, South East
£70000 annum plus
WhatJobs
Posted 3 days ago
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Job Description
Our client, a dynamic and growing investment management firm, is seeking a highly analytical and results-oriented Remote Senior Quantitative Analyst to join their sophisticated trading and risk management division. This is a fully remote position, offering the flexibility to work from anywhere in the UK. You will be instrumental in developing, testing, and implementing complex quantitative models and trading strategies across various financial markets. This role requires a strong blend of mathematical acumen, programming expertise, and a deep understanding of financial instruments and market behaviour. You will be working closely with portfolio managers and traders to identify alpha-generating opportunities and manage risk effectively.
Responsibilities:
Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies for equities, fixed income, derivatives, or other asset classes.
- Build and maintain sophisticated statistical and machine learning models for pricing, risk management, and forecasting.
- Analyse large datasets to identify market inefficiencies and trading opportunities.
- Collaborate with portfolio managers and traders to translate investment ideas into implementable quantitative strategies.
- Conduct rigorous research into new methodologies and technologies relevant to quantitative finance.
- Develop and maintain robust code in Python, R, C++, or other relevant programming languages.
- Perform risk analysis and stress testing on investment portfolios.
- Communicate complex quantitative concepts and research findings clearly to non-technical stakeholders.
- Ensure the integrity and performance of quantitative models and trading systems.
- Stay current with market trends, regulatory changes, and academic research in quantitative finance.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience (5+ years) as a Quantitative Analyst or similar role in the financial industry.
- Strong programming skills in Python and/or C++ for financial modelling and data analysis.
- In-depth knowledge of statistical modelling, machine learning techniques, and time-series analysis.
- Familiarity with various financial instruments, derivatives, and market microstructure.
- Experience with financial databases and data vendors (e.g., Bloomberg, Refinitiv).
- Excellent analytical, problem-solving, and research skills.
- Strong communication and presentation skills, with the ability to explain complex ideas effectively.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
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