308 Algorithmic Trading jobs in the United Kingdom

Quantitative Analyst - Algorithmic Trading

PO1 3AL Portsmouth, South East £90000 Annually WhatJobs

Posted 2 days ago

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Job Description

full-time
Our client, a prestigious global investment bank, is looking for a highly skilled Quantitative Analyst to join their innovative algorithmic trading desk. This is a fully remote position, offering the opportunity to work from anywhere within the UK. You will be responsible for developing, testing, and implementing sophisticated mathematical models and trading strategies that drive high-frequency trading operations. This role demands exceptional analytical prowess, a deep understanding of financial markets, and proficiency in programming languages. Key responsibilities include:
  • Designing and developing cutting-edge quantitative models for trading strategies in various asset classes.
  • Performing rigorous statistical analysis and back-testing of trading algorithms.
  • Collaborating with traders and technologists to implement and optimize trading systems.
  • Monitoring market dynamics and identifying opportunities for algorithmic arbitrage.
  • Writing clean, efficient, and maintainable code in Python, C++, or R.
  • Researching and evaluating new data sources and analytical techniques.
  • Contributing to the continuous improvement of the firm's trading infrastructure and methodologies.
  • Maintaining accurate documentation of models, strategies, and processes.

The successful candidate will possess a strong academic background with a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Computer Science, or Statistics. Proven experience in quantitative finance, particularly in developing and implementing algorithmic trading strategies, is essential. Expertise in statistical modeling, time-series analysis, and machine learning techniques is required. Strong programming skills in Python, C++, or Java are a must. Excellent problem-solving abilities and a keen interest in financial markets are also crucial. As this is a remote-first role, you should be highly self-motivated, disciplined, and possess excellent virtual communication skills.
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Quantitative Analyst - Algorithmic Trading

OX1 2AA Oxford, South East £90000 annum + bon WhatJobs

Posted 2 days ago

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Job Description

full-time
Our client, a prestigious global investment bank, is seeking a highly analytical and technically proficient Quantitative Analyst to join their cutting-edge Algorithmic Trading division. This is a fully remote opportunity, allowing you to contribute to high-stakes financial strategies from anywhere. You will be instrumental in designing, developing, and implementing sophisticated quantitative models and trading algorithms for execution across various financial markets. This role requires a deep understanding of financial mathematics, statistical modelling, machine learning, and programming to identify market inefficiencies and develop profitable trading strategies. You will work alongside a team of world-class quants and traders, leveraging vast datasets to gain a competitive edge.

Key Responsibilities:
  • Design, develop, backtest, and deploy high-frequency and algorithmic trading strategies.
  • Conduct rigorous statistical analysis and data mining of large financial datasets to identify trading opportunities.
  • Develop and maintain robust mathematical and statistical models for pricing, risk management, and portfolio optimisation.
  • Implement algorithms in production trading systems, ensuring performance, reliability, and low latency.
  • Collaborate with traders and technology teams to refine and improve existing trading strategies and infrastructure.
  • Research and apply advanced machine learning techniques to enhance trading models and predictions.
  • Monitor market conditions and algorithm performance, making necessary adjustments to optimise returns.
  • Contribute to the continuous improvement of the quantitative research and development framework.
  • Perform ad-hoc quantitative research and analysis to support trading decisions and business initiatives.
  • Stay at the forefront of financial market trends and technological advancements in quantitative finance.
Qualifications and Experience:
  • Advanced degree (M.S. or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
  • Proven experience (3+ years) in quantitative analysis, algorithmic trading, or statistical modelling within the financial industry.
  • Strong programming skills in languages such as Python, C++, Java, or R.
  • Deep understanding of financial markets, derivatives, and trading strategies.
  • Expertise in statistical modelling, time series analysis, and machine learning algorithms.
  • Experience with large-scale data analysis and distributed computing frameworks.
  • Excellent problem-solving abilities and a meticulous attention to detail.
  • Ability to work independently and as part of a high-performing remote team.
  • Strong communication skills, with the ability to explain complex quantitative concepts clearly.
  • Experience with real-time trading systems and low-latency programming is a significant advantage.
This is an exceptional opportunity for a talented quant to make a significant impact in a highly dynamic and rewarding field, operating entirely remotely. If you are passionate about quantitative finance and algorithmic trading, we encourage you to apply.
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Quantitative Analyst - Algorithmic Trading

S1 4HG Sheffield, Yorkshire and the Humber £70000 annum + bon WhatJobs

Posted 2 days ago

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Job Description

full-time
Our client, a leading firm in the financial services sector, is actively seeking a talented Quantitative Analyst to join their advanced quantitative strategies team. This position is fully remote, allowing you to contribute to groundbreaking financial modeling and algorithmic trading strategies from your chosen location within the UK. You will be instrumental in developing, backtesting, and deploying sophisticated mathematical models and trading algorithms to drive performance in global markets.

Key Responsibilities:
  • Develop and implement complex quantitative models for pricing, risk management, and algorithmic trading across various asset classes (equities, fixed income, derivatives).
  • Conduct rigorous statistical analysis and data mining of large datasets to identify trading opportunities.
  • Design, build, and test trading strategies using Python, C++, or other relevant programming languages.
  • Collaborate closely with traders, developers, and other quants in a virtual team environment to refine and optimize trading strategies.
  • Monitor the performance of live trading strategies and perform ongoing analysis for improvements.
  • Research and evaluate new quantitative techniques and technologies.
  • Ensure the integrity and accuracy of data inputs and model outputs.
  • Prepare detailed reports and presentations on research findings and strategy performance.
  • Contribute to the firm's intellectual capital and knowledge sharing initiatives.

Required Qualifications:
  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
  • Proven experience in quantitative finance, algorithmic trading, or a related quantitative role.
  • Strong programming skills in Python and/or C++. Experience with R, Java, or KDB+/q is a plus.
  • Deep understanding of financial markets, statistical modeling, and machine learning techniques.
  • Experience with data analysis and visualization tools.
  • Excellent problem-solving abilities and a keen eye for detail.
  • Ability to communicate complex ideas clearly and concisely to both technical and non-technical audiences in a remote setting.
  • Self-motivated with a strong work ethic and the ability to thrive in an independent work environment.
  • Must be legally authorized to work in the UK.

This is a unique opportunity to apply your quantitative expertise to challenging problems in algorithmic trading within a highly collaborative and innovative remote team.
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Quantitative Analyst - Algorithmic Trading

WV1 1AA Wolverhampton, West Midlands £80000 Annually WhatJobs

Posted 5 days ago

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Job Description

full-time
Our client is looking for a talented and results-driven Quantitative Analyst to join their pioneering algorithmic trading team. This is a completely remote position, allowing you to contribute your expertise from anywhere. The role involves developing, implementing, and optimising sophisticated trading algorithms and strategies. You will be responsible for rigorous statistical analysis, backtesting models, and real-time performance monitoring of trading systems. Essential to this role is the ability to identify market inefficiencies and translate complex financial concepts into actionable trading strategies. The ideal candidate will possess a strong academic background in a quantitative discipline such as Mathematics, Physics, Computer Science, or Finance, coupled with a proven track record in quantitative finance or algorithmic trading. Proficiency in programming languages like Python, C++, or R is a must, alongside extensive experience with financial data analysis tools and libraries. You will collaborate closely with traders and portfolio managers to refine strategies and contribute to the overall success of the trading desk. This position demands exceptional problem-solving skills, a rigorous analytical mindset, and the ability to thrive in a highly competitive and fast-paced environment. As a remote employee, you will leverage cutting-edge collaboration tools and maintain open communication channels to ensure seamless teamwork and innovation. The focus is on delivering measurable performance improvements through quantitative methodologies. You will be at the forefront of financial innovation, pushing the boundaries of what's possible in automated trading. This role, though connected to Wolverhampton, West Midlands, UK , operates on a fully remote basis, demanding high levels of autonomy and self-motivation.
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Quantitative Analyst - Algorithmic Trading

S1 1UA Sheffield, Yorkshire and the Humber £80000 annum plus WhatJobs

Posted 5 days ago

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Job Description

full-time
Our client, a highly respected global investment bank, is seeking an exceptionally talented Quantitative Analyst to join their cutting-edge algorithmic trading team. This fully remote position offers the opportunity to work on complex financial modeling and develop sophisticated trading strategies from anywhere. You will be responsible for designing, implementing, and testing quantitative models used in high-frequency trading across various asset classes. This role demands a strong mathematical background, exceptional programming skills, and a deep understanding of financial markets.

Key Responsibilities:
  • Develop, backtest, and implement quantitative trading algorithms and strategies.
  • Analyse large datasets to identify trading opportunities and market inefficiencies.
  • Conduct statistical analysis and build predictive models for market movements.
  • Collaborate with traders and software developers to integrate quantitative models into trading systems.
  • Monitor and optimize the performance of live trading strategies, identifying and resolving issues.
  • Research and evaluate new quantitative techniques and financial instruments.
  • Contribute to the development of risk management frameworks for trading strategies.
  • Maintain clear and concise documentation of models, strategies, and research findings.
  • Stay abreast of the latest developments in quantitative finance, machine learning, and data science.
Qualifications and Skills:
  • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
  • Proven experience in quantitative finance, ideally within algorithmic or high-frequency trading.
  • Strong programming skills in languages such as Python, C++, or R.
  • Proficiency in statistical analysis, machine learning, and data mining techniques.
  • Deep understanding of financial markets, asset pricing, and risk management.
  • Excellent problem-solving and analytical abilities.
  • Ability to work independently and manage projects in a remote environment.
  • Strong communication skills to articulate complex quantitative concepts.
  • Experience with large-scale data analysis and distributed computing is a plus.
This advertiser has chosen not to accept applicants from your region.

Quantitative Analyst - Algorithmic Trading

AB10 1AA Aberdeen, Scotland £90000 Annually WhatJobs

Posted 9 days ago

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Job Description

full-time
A prestigious international investment bank is seeking a highly skilled Quantitative Analyst (Quant) with expertise in algorithmic trading strategies to join their dynamic, remote-first team. This pivotal role involves designing, developing, and implementing sophisticated quantitative models and trading algorithms across various financial markets. You will leverage advanced mathematical, statistical, and programming skills to identify market inefficiencies, develop predictive models, and optimize trading execution. The ideal candidate will have a strong academic background in a quantitative field such as Mathematics, Physics, Computer Science, or Finance, coupled with demonstrable experience in developing and backtesting trading strategies. Proficiency in programming languages like Python, C++, or R, along with experience in financial data analysis and machine learning techniques, is essential. You will be responsible for rigorous quantitative research, risk management, and performance attribution of trading strategies. This role requires a deep understanding of financial markets, derivatives pricing, and statistical arbitrage. Collaboration with traders and technologists to bring new strategies to life and ensure their robust implementation is key. The ability to work autonomously, manage complex projects, and communicate technical concepts effectively to both technical and non-technical stakeholders is crucial for success in this remote position. If you are a driven and innovative quantitative professional with a passion for financial markets and algorithmic trading, this is an exceptional opportunity to contribute to a leading financial institution.
Responsibilities:
  • Research, design, and develop quantitative trading strategies and algorithms.
  • Build and maintain statistical models for market prediction and risk management.
  • Implement and test trading strategies using programming languages like Python, C++, or R.
  • Analyze large datasets to identify trading opportunities and market inefficiencies.
  • Perform backtesting and performance evaluation of trading algorithms.
  • Collaborate with traders and software developers to deploy and optimize strategies.
  • Monitor and manage risk associated with trading activities.
  • Contribute to the development of trading infrastructure and tools.
  • Stay current with the latest advancements in quantitative finance and machine learning.
  • Communicate complex quantitative concepts clearly and concisely.
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Quantitative Analyst - Algorithmic Trading

CV1 2ND Coventry, West Midlands £80000 annum + bon WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client, a highly reputable investment bank with a global presence, is seeking a talented and driven Quantitative Analyst to join their cutting-edge Algorithmic Trading team. This fully remote position is ideal for individuals with a strong mathematical and statistical background, coupled with exceptional programming skills, who are passionate about developing and implementing sophisticated trading strategies. You will be responsible for designing, backtesting, and deploying quantitative trading models across various asset classes. This involves rigorous data analysis, statistical modeling, and the development of high-frequency trading algorithms.

The ideal candidate will possess a deep understanding of financial markets, statistical arbitrage, time series analysis, and machine learning techniques. You will work closely with traders and other quantitative researchers to identify profitable trading opportunities, refine existing models, and manage risk effectively. As part of a remote-first team, you will utilize advanced communication and collaboration tools to ensure seamless integration with the broader trading desk. You will need to demonstrate strong analytical and problem-solving abilities, the capacity to work independently under pressure, and a keen eye for detail. The role requires proficiency in programming languages such as Python, C++, or R, and experience with large datasets and real-time data processing.

Key Responsibilities:
  • Develop, implement, and optimize quantitative trading strategies and algorithms.
  • Conduct in-depth statistical analysis and backtesting of trading models.
  • Analyze market data to identify trading opportunities and risks.
  • Collaborate with traders and other quants to refine strategies and improve performance.
  • Build and maintain robust data pipelines for real-time market data.
  • Manage and monitor trading system performance and identify areas for improvement.
  • Research and apply advanced mathematical, statistical, and machine learning techniques to trading problems.
  • Ensure compliance with regulatory requirements and risk management protocols.
  • Stay current with market trends and technological advancements in quantitative finance.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Minimum of 3 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
  • Strong programming skills in Python, C++, or R.
  • Solid understanding of financial markets, derivative pricing, and risk management.
  • Proven experience with statistical modeling, time series analysis, and machine learning techniques.
  • Familiarity with high-frequency trading concepts and infrastructure is a plus.
  • Excellent analytical, problem-solving, and quantitative skills.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.
  • Strong communication and presentation skills.
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Quantitative Analyst - Algorithmic Trading

RG1 1AA Reading, South East £80000 annum + bon WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client is a leading financial institution seeking a brilliant Quantitative Analyst to join their innovative algorithmic trading team. This is a fully remote, high-impact role focused on developing, testing, and deploying sophisticated trading strategies. You will be instrumental in designing and implementing complex mathematical models and statistical methods to identify trading opportunities across various global markets. Your expertise will be crucial in analyzing vast datasets, deriving insights, and translating them into profitable trading algorithms. The role requires a deep understanding of financial markets, derivative pricing, risk management, and programming. You will collaborate closely with portfolio managers and developers in a fast-paced, collaborative environment, working on cutting-edge technology. Responsibilities include backtesting strategies, monitoring their performance in live trading, and continuously refining them based on market dynamics and performance metrics. You'll be expected to stay abreast of the latest academic research and industry trends in quantitative finance and algorithmic trading. The ideal candidate possesses exceptional analytical skills, a passion for problem-solving, and a strong academic background in a quantitative discipline. Proficiency in programming languages such as Python, C++, or R is essential, along with experience in data manipulation and statistical analysis libraries. This remote-first position offers unparalleled flexibility and the opportunity to work with a globally distributed, talented team. You will contribute to the firm's success by developing robust, data-driven trading solutions. The ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders is a key requirement. You will be a vital part of shaping the future of our client's trading operations from anywhere in the world.

Key Responsibilities:
  • Develop and implement quantitative models and algorithms for trading.
  • Analyze market data to identify and capitalize on trading opportunities.
  • Conduct rigorous backtesting and performance analysis of trading strategies.
  • Collaborate with traders and software engineers on strategy implementation and deployment.
  • Monitor and optimize live trading strategies, managing risk effectively.
  • Research and apply cutting-edge quantitative finance techniques.
  • Work with large datasets and perform statistical analysis.
  • Contribute to the development of the firm's quantitative trading infrastructure.
Qualifications:
  • Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
  • Proven experience in quantitative finance, algorithmic trading, or similar roles.
  • Strong programming skills in Python, C++, or R, including relevant libraries (e.g., NumPy, Pandas, SciPy).
  • Solid understanding of financial markets, derivatives, and risk management.
  • Experience with large-scale data analysis and machine learning techniques.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.

Quantitative Analyst - Algorithmic Trading

CV1 2GT Coventry, West Midlands £90000 Annually WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client, a prestigious investment bank, is seeking a highly analytical and mathematically gifted Quantitative Analyst to join their dynamic team in **Coventry, West Midlands, UK**. This is a pivotal role within the algorithmic trading division, responsible for developing, testing, and implementing sophisticated trading strategies and models. The ideal candidate will possess a strong background in quantitative finance, statistical modelling, and programming, with a keen eye for detail and a proven ability to translate complex financial markets into executable trading algorithms. This role offers a challenging and rewarding environment for individuals passionate about quantitative finance and cutting-edge technology.

Key Responsibilities:
  • Design, develop, and backtest quantitative trading strategies using historical and real-time market data.
  • Implement trading algorithms in high-level programming languages (e.g., Python, C++), ensuring efficiency, accuracy, and robustness.
  • Analyse market microstructure, trading patterns, and economic indicators to identify profitable trading opportunities.
  • Develop and maintain statistical and machine learning models for pricing, risk management, and predictive analytics.
  • Collaborate closely with portfolio managers, traders, and technology teams to refine strategies and optimise trading execution.
  • Conduct rigorous performance analysis and attribution of trading strategies.
  • Monitor live trading systems, troubleshoot issues, and implement necessary adjustments to ensure optimal performance.
  • Research and apply advanced mathematical and statistical techniques to financial modelling problems.
  • Stay abreast of market developments, regulatory changes, and technological advancements relevant to quantitative trading.
  • Document trading strategies, models, and methodologies thoroughly.
  • Contribute to the continuous improvement of the firm's trading infrastructure and quantitative research capabilities.
Qualifications:
  • Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
  • Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or quantitative research within the financial industry.
  • Strong programming skills in Python and/or C++, with experience in data manipulation and scientific computing libraries.
  • Proven experience in statistical modelling, time-series analysis, and machine learning techniques.
  • Deep understanding of financial markets, trading instruments, and portfolio management concepts.
  • Experience with large datasets and databases (e.g., SQL).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work effectively under pressure in a fast-paced trading environment.
  • Strong communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
  • Experience with low-latency trading systems and market data feeds is a plus.
  • Demonstrated initiative and ability to work independently and as part of a team.
This role is predominantly remote, offering significant flexibility while requiring occasional presence for team collaboration and key meetings in our **Coventry** office.
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Quantitative Analyst - Algorithmic Trading

DY1 Wolverhampton, West Midlands £70000 annum + bon WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client, a prestigious financial services firm based in Wolverhampton, West Midlands, UK , is actively seeking a highly skilled Quantitative Analyst to join their dynamic trading division. This role is integral to the development, implementation, and ongoing refinement of sophisticated algorithmic trading strategies. You will leverage advanced mathematical models, statistical analysis, and cutting-edge programming techniques to identify profitable trading opportunities across various asset classes. The ideal candidate possesses a deep understanding of financial markets, a passion for data-driven decision-making, and a proven ability to translate complex quantitative concepts into practical trading solutions.

Key Responsibilities:
  • Design, develop, backtest, and deploy high-frequency and low-latency trading algorithms.
  • Conduct in-depth statistical analysis of market data to uncover patterns and predict price movements.
  • Collaborate closely with traders and portfolio managers to understand market dynamics and implement strategy adjustments.
  • Develop and maintain robust risk management frameworks for trading strategies.
  • Perform thorough research into new quantitative techniques and financial instruments.
  • Optimize existing trading systems for performance, efficiency, and scalability.
  • Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
  • Monitor live trading performance and troubleshoot any issues that arise.
  • Contribute to the team's intellectual capital by sharing insights and research findings.
  • Stay updated on regulatory changes and market microstructure developments.

Qualifications and Experience:
  • Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Proven experience in quantitative finance, specifically within algorithmic trading or quantitative research.
  • Strong programming skills in Python, C++, or R, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy).
  • Solid understanding of financial markets, derivatives, and trading strategies.
  • Expertise in statistical modelling, time-series analysis, and machine learning techniques.
  • Experience with large datasets and data visualization tools.
  • Excellent problem-solving and analytical abilities.
  • Strong communication skills, with the ability to explain complex quantitative concepts clearly.
  • Experience with database management (SQL) is a plus.
  • Ability to work effectively in a fast-paced, collaborative trading environment.

This is a unique opportunity to work at the forefront of quantitative finance, contributing to high-impact trading strategies within a globally recognized financial institution.
This advertiser has chosen not to accept applicants from your region.
 

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