80 Algorithmic Trading jobs in the United Kingdom
Quantitative Analyst - Algorithmic Trading
ST5 1AA Staffordshire, West Midlands
£70000 annum + bon
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Our client, a leading proprietary trading firm, is actively seeking a highly talented and motivated Quantitative Analyst specializing in Algorithmic Trading to join their sophisticated, fully remote quantitative research team. This role is paramount to designing, developing, and implementing cutting-edge trading strategies across various asset classes. You will leverage advanced mathematical models, statistical analysis, and programming expertise to identify market inefficiencies and generate profitable trading opportunities. The ideal candidate possesses a strong academic background, exceptional analytical skills, and a deep understanding of financial markets and high-frequency trading principles.
Responsibilities:
Qualifications:
This is an exceptional opportunity for a highly skilled quantitative professional to join a globally recognised trading firm. You will work on challenging and rewarding projects with significant potential for impact and financial reward, all within a flexible and supportive remote working structure. The role requires an individual who is intellectually curious, driven, and dedicated to quantitative excellence.
Responsibilities:
- Research, design, and implement quantitative trading strategies using statistical and machine learning techniques.
- Develop and test trading algorithms, backtesting them rigorously on historical data.
- Analyze large datasets to identify patterns, correlations, and market trends that can be exploited for trading.
- Collaborate with software developers to deploy trading strategies into live production environments.
- Monitor and optimize the performance of live trading algorithms, making adjustments as necessary.
- Conduct post-trade analysis to evaluate strategy effectiveness and identify areas for improvement.
- Stay abreast of the latest research in quantitative finance, econometrics, machine learning, and AI.
- Contribute to the continuous improvement of the firm's quantitative research infrastructure and methodologies.
- Work closely with portfolio managers to align trading strategies with risk management objectives.
- Evaluate and incorporate new data sources to enhance trading strategies.
- Document research findings, methodologies, and strategy performance thoroughly.
Qualifications:
- Advanced degree (M.S. or Ph.D.) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Proven experience (3+ years) in quantitative research and algorithmic trading strategy development within a trading firm or hedge fund.
- Strong programming skills in languages such as Python, C++, or R, with a focus on data analysis and numerical computation.
- Expertise in statistical modeling, time-series analysis, econometrics, and machine learning techniques.
- Solid understanding of financial markets, derivatives, and trading mechanics across various asset classes (equities, futures, FX, options).
- Experience with large dataset analysis and database technologies (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently, manage complex projects, and deliver results in a high-pressure, remote environment.
- Strong communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences.
- A passion for financial markets and cutting-edge technology.
This is an exceptional opportunity for a highly skilled quantitative professional to join a globally recognised trading firm. You will work on challenging and rewarding projects with significant potential for impact and financial reward, all within a flexible and supportive remote working structure. The role requires an individual who is intellectually curious, driven, and dedicated to quantitative excellence.
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0
Quantitative Analyst - Algorithmic Trading
PO1 1AB Portsmouth, South East
£70000 Annually
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Posted 4 days ago
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A prestigious investment bank in **Portsmouth, Hampshire, UK**, is looking to recruit a highly skilled Quantitative Analyst to join their dynamic Algorithmic Trading team. This role is critical for developing and implementing sophisticated mathematical models and trading strategies that drive high-frequency trading operations. The Quantitative Analyst will work closely with traders, developers, and other quantitative researchers to identify market opportunities, design, backtest, and deploy automated trading systems. Key responsibilities include performing in-depth statistical analysis of market data, researching and developing new alpha generation strategies, optimizing existing trading algorithms for performance and risk management, and contributing to the firm's intellectual property in quantitative finance. The ideal candidate will possess a Master's or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Financial Engineering. Essential skills include advanced proficiency in programming languages like Python, C++, or R, strong knowledge of statistical modeling, time-series analysis, machine learning techniques, and a deep understanding of financial markets and derivative pricing. Experience with large-scale data processing and distributed computing frameworks is a significant advantage. This is a demanding, on-site role requiring excellent analytical, problem-solving, and communication skills. You will be part of a collaborative and intellectually stimulating environment, contributing directly to the firm's profitability and market position. The opportunity offers significant career progression within a top-tier financial institution. A passion for financial markets and a drive to innovate are essential qualities for success in this role. We expect candidates to be highly disciplined, detail-oriented, and capable of working under pressure in a fast-paced trading environment. Prior experience in a similar quantitative trading role within an investment bank or hedge fund is preferred.
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1
Senior Quantitative Analyst - Algorithmic Trading
CB2 1AA Cambridge, Eastern
£90000 Annually
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Our client, a leading quantitative trading firm with a global presence, is seeking an exceptional Senior Quantitative Analyst to join their innovative team. This role is entirely remote, offering the flexibility to work from anywhere in the UK. You will be at the forefront of developing, implementing, and refining sophisticated algorithmic trading strategies across various asset classes. This position requires a deep understanding of financial markets, advanced statistical modeling, and strong programming skills. You will collaborate with a team of highly talented quants, traders, and technologists to drive alpha generation and enhance trading performance. The ideal candidate is a creative problem-solver with a passion for quantitative finance and a proven ability to deliver robust, production-ready trading models.
Key Responsibilities:
Qualifications:
This remote role offers a highly competitive compensation package, including a generous bonus structure, comprehensive benefits, and the chance to work with a world-class team on challenging and impactful projects.
Key Responsibilities:
- Research, design, and implement quantitative trading strategies using statistical and machine learning techniques.
- Develop and backtest trading algorithms, rigorously analyzing performance and risk.
- Collaborate with traders and developers to deploy and monitor strategies in live trading environments.
- Analyze large datasets of market data to identify patterns and trading opportunities.
- Continuously improve and optimize existing trading models based on market feedback and performance analysis.
- Conduct in-depth research into market microstructure and behavioral finance.
- Build and maintain tools and infrastructure for strategy development, testing, and execution.
- Communicate complex quantitative concepts and results to both technical and non-technical audiences.
- Stay abreast of the latest research and advancements in quantitative finance and data science.
- Contribute to the team's overall knowledge base and foster a culture of innovation.
Qualifications:
- MSc or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Strong proficiency in programming languages such as Python (NumPy, Pandas, Scikit-learn), C++, or R.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and trading mechanics.
- Experience with large-scale data analysis and database technologies.
- Proven ability to develop and implement robust, profitable trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, suitable for a remote work environment.
- A proactive and self-motivated approach to research and development.
This remote role offers a highly competitive compensation package, including a generous bonus structure, comprehensive benefits, and the chance to work with a world-class team on challenging and impactful projects.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Algorithmic Trading
WV1 1AB Wolverhampton, West Midlands
£90000 Annually
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Our client is a highly respected financial institution renowned for its sophisticated trading strategies and robust risk management framework. We are seeking an exceptionally talented Senior Quantitative Analyst to join our elite trading team. This role is based in the office, fostering a collaborative environment for high-level analysis and strategy development. You will be at the forefront of designing, developing, and implementing quantitative models that drive our algorithmic trading operations across various asset classes.
This is a critical position that requires a deep understanding of financial markets, statistical modeling, and advanced programming techniques. You will work closely with traders, portfolio managers, and technologists to identify trading opportunities, optimize execution strategies, and manage portfolio risk. The ideal candidate will possess a rigorous analytical mindset, a passion for financial markets, and a proven ability to translate complex mathematical concepts into profitable trading strategies.
Responsibilities:
Qualifications:
This is a critical position that requires a deep understanding of financial markets, statistical modeling, and advanced programming techniques. You will work closely with traders, portfolio managers, and technologists to identify trading opportunities, optimize execution strategies, and manage portfolio risk. The ideal candidate will possess a rigorous analytical mindset, a passion for financial markets, and a proven ability to translate complex mathematical concepts into profitable trading strategies.
Responsibilities:
- Develop and implement sophisticated quantitative models for pricing, hedging, and trading financial derivatives and other instruments.
- Design and backtest algorithmic trading strategies across global markets (equities, fixed income, FX, commodities).
- Perform statistical analysis of market data to identify patterns, correlations, and predictive signals.
- Collaborate with the technology team to build and maintain high-performance trading infrastructure and data pipelines.
- Monitor and analyze the performance of trading strategies, making adjustments as necessary to optimize returns and manage risk.
- Conduct in-depth research into new trading methodologies and market microstructure.
- Work with risk management teams to assess and quantify portfolio risk exposure.
- Communicate complex quantitative findings and recommendations clearly to senior management and trading desks.
- Contribute to the firm's knowledge base and mentor junior quantitative analysts.
- Ensure compliance with all regulatory requirements and internal policies.
- Develop tools and platforms for research, backtesting, and real-time strategy monitoring.
Qualifications:
- Master's or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Strong programming skills in Python, C++, or Java, with experience in numerical libraries (e.g., NumPy, SciPy).
- Expertise in statistical modeling, time series analysis, and machine learning techniques applied to finance.
- In-depth knowledge of financial markets, instruments, and trading strategies.
- Experience with data analysis tools and databases (e.g., SQL, KDB+).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex concepts to diverse audiences.
- Ability to work effectively in a fast-paced, high-pressure trading environment.
- Proven track record of developing successful trading models or strategies.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst (Algorithmic Trading)
BS1 1AA Bristol, South West
£90000 Annually
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Our client, a highly respected and innovative fintech firm with a global reach, is looking for a talented Senior Quantitative Analyst to join their expanding remote team. This role is exclusively remote, allowing you to contribute from anywhere. You will be at the forefront of developing, testing, and deploying sophisticated quantitative models and algorithms for high-frequency and algorithmic trading strategies. The ideal candidate will possess a strong academic background in a quantitative discipline, combined with extensive practical experience in financial markets and cutting-edge programming. Responsibilities include designing and implementing statistical and machine learning models to identify profitable trading opportunities, backtesting strategies across vast historical datasets, and optimizing trading algorithms for performance and risk management. You will conduct in-depth market research, analyze financial instruments, and develop robust risk assessment frameworks. Collaboration with portfolio managers and software developers will be crucial to translate research into production-ready trading systems. The successful applicant will have a deep understanding of financial time series analysis, econometrics, and advanced statistical techniques. Proficiency in programming languages such as Python, C++, or R, along with experience in numerical methods and scientific computing, is essential. This position demands exceptional problem-solving skills, intellectual curiosity, and the ability to work independently in a remote setting. You will be instrumental in driving the firm's trading strategies and ensuring a competitive edge in dynamic markets. Requirements: Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field. Minimum of 5 years of experience in quantitative finance, algorithmic trading, or related roles. Strong programming skills in Python (with libraries like NumPy, SciPy, Pandas) and C++. Expertise in machine learning techniques and statistical modeling. Familiarity with financial markets, derivatives, and trading execution strategies. Proven ability to work autonomously and manage multiple projects simultaneously in a remote environment. Excellent analytical, communication, and critical thinking skills. Experience with distributed computing and big data technologies is a plus. Join our cutting-edge team and shape the future of algorithmic trading from the comfort of your home.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Algorithmic Trading
EC2N 2PB London, London
£90000 Annually
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Posted today
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Job Description
Our client, a leading firm in the global financial markets, is seeking an exceptionally talented Senior Quantitative Analyst to join their innovative algorithmic trading team. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will play a pivotal role in designing, developing, and implementing sophisticated quantitative strategies that drive our trading operations. This role demands a rigorous analytical mindset, exceptional programming skills, and a deep understanding of financial markets and statistical modeling.
Responsibilities:
Responsibilities:
- Develop and backtest complex trading algorithms and strategies using statistical, machine learning, and mathematical models.
- Analyze large datasets of market data to identify profitable trading opportunities and risk factors.
- Implement and deploy trading strategies in a live production environment, ensuring high performance and reliability.
- Conduct thorough risk management analysis for all developed trading strategies.
- Collaborate with traders and portfolio managers to refine strategy parameters and execution logic.
- Research and stay abreast of the latest advancements in quantitative finance, machine learning, and artificial intelligence.
- Optimize existing algorithms for speed, efficiency, and profitability.
- Contribute to the continuous improvement of the firm's trading infrastructure and tools.
- Develop and maintain high-quality, well-documented code in languages such as Python, C++, or R.
- Present research findings and strategy performance reports to senior management and the trading desk.
- PhD or Master's degree 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 a similar role within the financial industry.
- Proven track record of developing and implementing successful trading strategies.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Proficiency in programming languages such as Python (NumPy, Pandas, Scikit-learn), C++, or R.
- Strong understanding of financial markets, derivatives, and trading execution.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects in a fast-paced, remote environment.
- Strong communication skills, with the ability to explain complex quantitative concepts to a non-technical audience.
- Demonstrated experience with large-scale data analysis and database technologies.
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5
Senior Quantitative Analyst - Algorithmic Trading
LE1 5BB Leicester, East Midlands
£80000 Annually
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Posted today
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Job Description
Our client, a highly reputable investment bank, is seeking an elite Senior Quantitative Analyst to join their advanced algorithmic trading team. This is a fully remote position, offering a unique opportunity to contribute to the development and enhancement of sophisticated trading strategies from anywhere in the UK. You will leverage your deep understanding of financial markets, mathematics, and programming to design, backtest, and deploy quantitative models that drive trading performance and generate alpha.
Responsibilities:
Qualifications:
This is a premier opportunity for a talented quantitative professional seeking to excel in a challenging and rewarding remote environment. Join a leading institution and shape the future of quantitative trading.
Responsibilities:
- Design, develop, and implement quantitative trading strategies across various asset classes (equities, derivatives, FX, fixed income).
- Conduct in-depth statistical analysis of market data to identify trading opportunities and patterns.
- Build and maintain robust backtesting frameworks and performance evaluation tools.
- Collaborate with traders and portfolio managers to understand market needs and refine strategy parameters.
- Optimize trading algorithms for speed, efficiency, and profitability.
- Research and implement advanced mathematical and statistical models, including time-series analysis, machine learning, and stochastic calculus.
- Monitor the performance of live trading strategies and conduct post-trade analysis.
- Develop tools and infrastructure to support the quantitative research and trading process.
- Stay abreast of the latest developments in quantitative finance, machine learning, and financial markets.
- Contribute to the firm's intellectual capital through research papers and internal knowledge sharing.
- Ensure compliance with regulatory requirements and risk management policies.
- Mentor junior quantitative analysts and contribute to team development.
- Code complex financial models and algorithms using languages like Python, C++, or R.
- Effectively communicate research findings and strategic recommendations to stakeholders.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 5 years of hands-on experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Proven track record of developing and deploying successful quantitative trading strategies.
- Expertise in statistical modeling, time-series analysis, econometrics, and machine learning techniques.
- Strong programming skills in Python and C++ are essential. Experience with R or other statistical languages is a plus.
- Deep understanding of financial markets, instruments, and trading mechanics.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to convey complex ideas clearly.
- Ability to work independently and collaboratively in a fast-paced, remote environment.
- Familiarity with high-frequency trading (HFT) concepts is advantageous.
This is a premier opportunity for a talented quantitative professional seeking to excel in a challenging and rewarding remote environment. Join a leading institution and shape the future of quantitative trading.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Quantitative Analyst (Algorithmic Trading)
S1 4ES Sheffield, Yorkshire and the Humber
£90000 annum + bon
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Posted today
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Job Description
Our client, a prestigious global financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their elite trading strategies team. This fully remote position offers an unparalleled opportunity to design, develop, and implement sophisticated algorithmic trading strategies across various financial markets. You will work with cutting-edge technology and collaborate with a world-class team of traders, researchers, and engineers to drive alpha generation and enhance trading performance. The ideal candidate possesses a robust mathematical and statistical background, exceptional programming skills, and a deep understanding of financial markets.
Key Responsibilities:
Qualifications:
This is a unique opportunity to join a highly successful and innovative trading firm. If you are a top-tier quantitative professional with a passion for financial markets and cutting-edge technology, we encourage you to apply.
Key Responsibilities:
- Research, develop, backtest, and deploy quantitative trading strategies across multiple asset classes (equities, futures, FX, options).
- Analyze large datasets to identify trading opportunities and market inefficiencies.
- Implement and optimize trading algorithms using high-performance programming languages.
- Collaborate closely with portfolio managers and traders to understand market dynamics and refine strategy objectives.
- Monitor the performance of live trading strategies, identify issues, and implement necessary adjustments.
- Develop statistical models to forecast market movements and assess risk.
- Contribute to the continuous improvement of the firm's trading infrastructure and technological capabilities.
- Maintain clear and concise documentation of research, models, and code.
- Stay up-to-date with the latest advancements in quantitative finance, machine learning, and statistical modeling techniques.
- Participate in code reviews and knowledge sharing sessions with the quantitative team.
- Ensure the integrity and robustness of trading systems and data pipelines.
- Evaluate and integrate new data sources and analytical tools.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Expert proficiency in programming languages such as Python, C++, or Java, with extensive experience in financial data analysis libraries.
- Strong understanding of statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Deep knowledge of financial markets, instruments, and trading mechanics.
- Experience with backtesting platforms and financial data providers.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects in a fast-paced, deadline-driven environment.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas clearly.
- Experience with cloud computing environments and distributed systems is a plus.
This is a unique opportunity to join a highly successful and innovative trading firm. If you are a top-tier quantitative professional with a passion for financial markets and cutting-edge technology, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Algorithmic Trading
DE1 1SU Derby, East Midlands
£90000 annum + bon
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Posted 1 day ago
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Our client, a prestigious financial institution, is seeking a highly analytical and innovative Senior Quantitative Analyst to join their remote-first Algorithmic Trading team. This role is critical for developing, implementing, and refining sophisticated trading strategies and models that drive profitability in dynamic market environments. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling, and proficient programming skills.
Responsibilities:
Required Qualifications:
This role presents an exciting opportunity for a talented quant to make a significant impact on trading performance within a leading financial firm, with the flexibility of a fully remote position.
Responsibilities:
- Design, develop, backtest, and deploy quantitative trading strategies across various asset classes.
- Conduct rigorous statistical analysis of market data to identify patterns and trading opportunities.
- Build and maintain predictive models for asset prices, volatility, and trading volumes.
- Collaborate with traders and technologists to integrate quantitative models into live trading systems.
- Monitor the performance of trading algorithms and make necessary adjustments to optimize results.
- Research and implement novel quantitative techniques and methodologies.
- Analyze large datasets to extract meaningful insights and support strategic decision-making.
- Generate comprehensive reports on strategy performance, risk, and market insights.
- Stay abreast of market microstructure, regulatory changes, and emerging trends in quantitative finance.
- Mentor junior quantitative analysts and contribute to the team's intellectual capital.
Required Qualifications:
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5 years of experience in quantitative research or algorithmic trading roles.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Strong proficiency in programming 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.
- Deep understanding of financial markets, derivatives, and trading mechanisms.
- Excellent analytical and problem-solving skills, with a meticulous attention to detail.
- Ability to work independently and effectively in a fast-paced, remote team environment.
- Strong communication and presentation skills, capable of explaining complex quantitative concepts to both technical and non-technical audiences.
- Experience with large-scale data processing and databases is a plus.
This role presents an exciting opportunity for a talented quant to make a significant impact on trading performance within a leading financial firm, with the flexibility of a fully remote position.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst - Algorithmic Trading
NR1 1AA Norwich, Eastern
£100000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a prestigious and innovative firm within the banking and finance sector, is seeking a highly skilled Senior Quantitative Analyst specializing in Algorithmic Trading to join their elite, fully remote team. This role is critical for developing, testing, and implementing sophisticated trading algorithms and strategies across various asset classes. You will leverage advanced mathematical modeling, statistical analysis, and programming skills to drive trading performance and contribute to the firm's competitive edge in the global markets.
Key Responsibilities:
Key Responsibilities:
- Design, develop, backtest, and deploy high-frequency and low-latency trading algorithms.
- Conduct rigorous statistical and quantitative analysis of market data to identify trading opportunities.
- Research and implement advanced mathematical models for pricing, risk management, and execution strategies.
- Collaborate with traders and developers to integrate quantitative models into production trading systems.
- Monitor and analyze the performance of trading algorithms, making necessary adjustments and optimizations.
- Develop tools and frameworks for data analysis, simulation, and performance evaluation in a remote environment.
- Stay abreast of the latest academic research, market trends, and technological advancements in quantitative finance.
- Ensure the robustness, scalability, and efficiency of trading strategies.
- Communicate complex quantitative concepts clearly to both technical and non-technical colleagues.
- Contribute to the firm's quantitative research agenda and intellectual property development.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- 5+ years of experience in quantitative analysis, algorithmic trading, or a related role within the financial services industry.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, Java).
- Strong understanding of financial markets, derivatives, and trading strategies.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with large datasets and high-performance computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and manage multiple projects in a fully remote setting.
- Strong communication and collaboration skills.
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