1,768 Quantitative Analyst jobs in the United Kingdom
Quantitative Analyst - Financial Markets
Posted 3 days ago
Job Viewed
Job Description
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.
Quantitative Analyst - Financial Markets
Posted 3 days ago
Job Viewed
Job Description
Senior Quantitative Analyst (Financial Markets)
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing complex financial derivatives (e.g., options, swaps, futures).
- Design and build models for risk management, including market risk, credit risk, and counterparty risk assessment.
- Conduct statistical analysis of market data to identify trading opportunities and inform hedging strategies.
- Collaborate with trading desks, risk management, and IT teams to deploy and maintain quantitative models.
- Develop efficient algorithms and robust software solutions for real-time pricing and risk calculations.
- Perform back-testing and sensitivity analysis of models to assess their performance and limitations.
- Stay abreast of regulatory requirements and ensure model compliance (e.g., Basel III/IV, FRTB).
- Document models thoroughly, including assumptions, methodologies, and validation results.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Research and propose innovative quantitative techniques and tools to enhance existing models and develop new capabilities.
- Master's degree or PhD in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- A minimum of 6 years of experience in quantitative analysis within investment banking, asset management, or financial services.
- Strong proficiency in programming languages such as Python, C++, R, or Java.
- Expertise in statistical modelling, time series analysis, stochastic calculus, and numerical methods.
- Deep understanding of financial derivatives, fixed income, equities, or FX markets.
- Experience with risk management frameworks and regulatory requirements in financial services.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively under pressure and manage multiple projects concurrently.
- Experience with data visualisation tools is a plus.
- Strong attention to detail and a commitment to accuracy in model development and implementation.
Senior Quantitative Analyst - Financial Markets
Posted today
Job Viewed
Job Description
Key responsibilities include designing and back-testing quantitative trading algorithms, developing statistical models for risk assessment, and contributing to the pricing of complex financial derivatives. You will work closely with traders, portfolio managers, and risk officers to provide quantitative insights and support trading decisions. This role requires proficiency in programming languages such as Python, R, or C++, and experience with large datasets. The Senior Quantitative Analyst will be responsible for maintaining and improving existing models, as well as researching and implementing new methodologies. A deep understanding of financial markets, including equities, fixed income, and derivatives, is essential. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is crucial. This position offers an exciting opportunity to contribute to cutting-edge financial research and development within a dynamic and intellectually stimulating environment. We are looking for an individual with a passion for quantitative finance and a desire to drive innovation in financial modelling.
Qualifications and Experience:
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative finance, risk management, or algorithmic trading.
- Strong programming skills in Python, R, C++, or similar languages.
- Proven experience in developing and implementing statistical and machine learning models.
- In-depth knowledge of financial markets, derivatives pricing, and risk management techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and as part of a collaborative team.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Familiarity with large-scale data processing and big data technologies.
Senior Quantitative Analyst - Financial Markets
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and implement quantitative trading strategies and models.
- Conduct statistical analysis of financial market data.
- Back-test and validate trading algorithms.
- Perform risk analysis and develop risk management models.
- Collaborate with traders and portfolio managers to identify trading opportunities.
- Write efficient and robust code for model implementation.
- Research and explore new quantitative techniques and data sources.
- Document methodologies, models, and results clearly.
- Stay abreast of market developments and quantitative finance research.
- Contribute to the continuous improvement of trading systems and processes.
- Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis or a similar role within the financial industry.
- Proven experience in developing and implementing quantitative trading strategies.
- Strong proficiency in programming languages like Python, R, C++, or Java.
- Experience with financial modeling, time-series analysis, and statistical software.
- Solid understanding of financial markets and instruments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work effectively in a hybrid team environment.
Senior Quantitative Analyst - Financial Markets
Posted 2 days ago
Job Viewed
Job Description
You will be at the forefront of quantitative finance, working within a highly collaborative team of quants, traders, and risk managers. Your responsibilities will include designing, backtesting, and deploying pricing models, risk analytics, and algorithmic trading strategies. This position demands exceptional analytical prowess, deep expertise in financial mathematics, strong programming skills, and a thorough understanding of financial markets. The role is based in our modern **Brighton** offices, providing an excellent working environment and opportunities for professional growth.
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing derivatives, structured products, and other financial instruments.
- Design and backtest algorithmic trading strategies across various asset classes (equities, fixed income, FX, commodities).
- Develop and refine methodologies for market risk measurement and management (e.g., VaR, Expected Shortfall).
- Build and maintain efficient and robust trading system components.
- Collaborate closely with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Conduct in-depth statistical analysis of market data to identify patterns and opportunities.
- Communicate complex quantitative concepts clearly and effectively to both technical and non-technical stakeholders.
- Ensure the accuracy, integrity, and performance of quantitative models and systems.
- Stay abreast of the latest research and developments in quantitative finance, econometrics, and financial engineering.
- Contribute to the firm's overall quantitative research agenda and strategy.
- Code and optimize algorithms in languages such as Python, C++, or R.
- Assist in the development and implementation of regulatory reporting requirements.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Mathematics, Statistics, Physics, Computer Science, or Engineering.
- Minimum of 5-7 years of experience in a quantitative role within investment banking, asset management, hedge funds, or a proprietary trading firm.
- Proven expertise in derivative pricing, risk management, and algorithmic trading.
- Strong programming skills in Python and/or C++, with experience in numerical analysis and scientific computing libraries.
- Deep understanding of financial markets, asset classes, and trading operations.
- Proficiency in statistical modeling, time-series analysis, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work effectively under pressure and meet tight deadlines.
- Familiarity with machine learning techniques in finance is a plus.
- Experience with distributed computing and big data technologies is advantageous.
This is an exceptional opportunity for a talented quantitative analyst to advance their career in a challenging and rewarding environment within the vibrant city of **Brighton**.
Senior Quantitative Analyst - Financial Markets
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Analyze large and complex datasets to identify market trends, opportunities, and potential risks.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and provide data-driven solutions.
- Design and execute back-testing procedures to validate model performance.
- Write efficient and robust code in languages such as Python, R, C++, or Java.
- Stay abreast of academic research and industry best practices in quantitative finance.
- Contribute to the development and enhancement of the firm's trading infrastructure and analytical tools.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Identify and implement innovative approaches to financial modeling and data analysis.
- Evaluate the performance of financial instruments and investment portfolios.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- A minimum of 5 years of experience in a quantitative role within investment banking, asset management, or hedge funds.
- Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas, scikit-learn).
- Deep understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts effectively.
- Experience with databases (e.g., SQL) and data visualization tools.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
- Familiarity with financial regulations and compliance is a plus.
Be The First To Know
About the latest Quantitative analyst Jobs in United Kingdom !
Senior Quantitative Analyst - Financial Markets
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and validate complex quantitative models for financial markets.
- Design and back-test novel trading algorithms and strategies.
- Conduct rigorous market analysis and research to identify investment opportunities.
- Collaborate with traders and portfolio managers to define and refine quantitative strategies.
- Ensure the accuracy, robustness, and performance of deployed quantitative models.
- Contribute to the development of risk management frameworks and tools.
- Analyze large datasets to extract actionable insights and inform decision-making.
- Communicate complex quantitative concepts effectively to technical and business stakeholders.
- Stay abreast of the latest advancements in quantitative finance and computational techniques.
- Maintain high standards of code quality, documentation, and model governance.
- MSc or PhD in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Significant experience as a Quantitative Analyst in investment banking or hedge funds.
- Expertise in developing and implementing financial models (e.g., pricing, risk, trading).
- Advanced proficiency in programming languages (e.g., Python, C++, R, SQL).
- Deep understanding of financial markets, derivatives, and trading strategies.
- Strong analytical, statistical, and problem-solving skills.
- Excellent communication and interpersonal skills, with the ability to explain complex topics.
- Proven ability to work independently and manage multiple priorities in a remote setting.
- Experience with big data technologies and machine learning is a plus.
Senior Quantitative Analyst - Financial Markets
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and backtest complex quantitative trading strategies across various asset classes.
- Build and maintain robust financial models for pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify patterns and opportunities.
- Implement quantitative models into production trading systems, collaborating closely with software engineers.
- Monitor and analyze the performance of live trading strategies, making necessary adjustments.
- Research and evaluate new quantitative methodologies and technologies.
- Collaborate with portfolio managers and traders to understand market needs and develop tailored solutions.
- Ensure the accuracy and reliability of data used in quantitative analysis.
- Document all models, strategies, and methodologies thoroughly.
- Stay current with industry trends, research papers, and academic advancements in quantitative finance.
- Contribute to the development of our quantitative research platform and tools.
- Master's or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- 5+ years of relevant experience in quantitative analysis, algorithmic trading, or financial modeling within the finance industry.
- Proficiency in programming languages such as Python, C++, R, or similar, with a strong emphasis on data analysis and scientific computing libraries.
- Solid understanding of financial markets, derivatives, fixed income, equities, and their associated risk factors.
- Expertise in statistical modeling, time series analysis, machine learning, and numerical methods.
- Experience with large datasets and database technologies (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.
- Proven ability to work independently and as part of a remote, high-performing team.
- Familiarity with cloud computing platforms is a plus.
Senior Quantitative Analyst (Financial Markets)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and back-test quantitative models for pricing, hedging, and risk management.
- Design and optimize algorithms for trading strategies and portfolio optimization.
- Analyze large datasets to identify market trends, patterns, and opportunities.
- Build and maintain robust risk management frameworks and metrics.
- Collaborate with traders, portfolio managers, and other stakeholders to develop and implement solutions.
- Communicate complex quantitative concepts to both technical and non-technical audiences.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and machine learning.
- Ensure compliance with regulatory requirements and internal policies.
- Contribute to the development and enhancement of quantitative libraries and tools.
Qualifications:
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Significant experience (e.g., 5+ years) in quantitative analysis within investment banking, hedge funds, or asset management.
- Expertise in mathematical modeling, statistical analysis, and financial econometrics.
- Proficiency in programming languages such as Python, R, C++, or similar.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Experience with data analysis tools and databases (e.g., SQL).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, essential for remote work.
- Experience with machine learning techniques applied to finance is a plus.