308 Algorithmic Trading jobs in the United Kingdom
Quantitative Analyst - Algorithmic Trading
Posted 2 days ago
Job Viewed
Job Description
- 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.
Quantitative Analyst - Algorithmic Trading
Posted 2 days ago
Job Viewed
Job Description
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.
- 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.
Quantitative Analyst - Algorithmic Trading
Posted 2 days ago
Job Viewed
Job Description
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.
Quantitative Analyst - Algorithmic Trading
Posted 5 days ago
Job Viewed
Job Description
Quantitative Analyst - Algorithmic Trading
Posted 5 days ago
Job Viewed
Job Description
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.
- 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.
Quantitative Analyst - Algorithmic Trading
Posted 9 days ago
Job Viewed
Job Description
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.
Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
Job Viewed
Job Description
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.
- 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
Posted 20 days ago
Job Viewed
Job Description
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.
- 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.
Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
Job Viewed
Job Description
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.
- 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.
Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
Job Viewed
Job Description
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.