235 Investment Strategies jobs in the United Kingdom
Quantitative Analyst - Investment Strategies
NG1 1DL Nottingham, East Midlands
£80000 annum (plus
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a prestigious global asset management firm, is seeking a highly analytical and innovative Quantitative Analyst to join their elite, fully remote investment strategies team. This challenging role involves the research, development, and implementation of sophisticated quantitative models and trading strategies across various asset classes. You will leverage your deep understanding of statistical modeling, machine learning, and financial markets to identify alpha-generating opportunities and optimise portfolio performance. The ideal candidate will possess exceptional mathematical and programming skills, with a proven ability to translate complex financial concepts into robust, data-driven solutions. Responsibilities include data mining, feature engineering, backtesting strategies, and collaborating with portfolio managers to integrate quantitative insights into investment decisions. You will also monitor and refine existing strategies, ensuring their continued effectiveness in dynamic market conditions. This remote position demands a high degree of intellectual curiosity, self-discipline, and the ability to work autonomously while contributing to a collaborative team environment. Strong communication skills are essential for presenting complex findings and recommendations to stakeholders. If you are a top-tier quantitative professional looking to make a significant impact on global investment strategies from anywhere in the world, we invite you to apply.
Key Responsibilities:
Key Responsibilities:
- Research, develop, and implement quantitative trading models and strategies.
- Utilise statistical techniques and machine learning algorithms for financial data analysis.
- Perform extensive data mining, feature engineering, and backtesting of strategies.
- Collaborate with portfolio managers to integrate quantitative insights into investment processes.
- Monitor and evaluate the performance of existing strategies, making necessary adjustments.
- Analyse market data and identify potential investment opportunities.
- Develop and maintain tools for strategy analysis and risk management.
- Communicate complex quantitative concepts and findings to diverse audiences.
- Stay abreast of academic research and industry trends in quantitative finance.
- Ensure the robustness and scalability of developed quantitative models.
- Contribute to the continuous improvement of the firm's quantitative research capabilities.
- Adhere to all regulatory and compliance requirements.
- Master's or PhD in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, Physics, or Engineering.
- Proven experience in quantitative finance, hedge funds, or asset management.
- Strong expertise in statistical modeling, time-series analysis, and machine learning techniques.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Experience with financial data sources and analytical platforms.
- Excellent understanding of financial markets and various asset classes.
- Demonstrated ability to develop and backtest complex trading strategies.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Ability to work independently and effectively in a remote, collaborative setting.
- Strong written and verbal communication skills.
- Experience with large-scale data processing and high-performance computing is a plus.
This advertiser has chosen not to accept applicants from your region.
0
Quantitative Analyst - Investment Strategies
OX1 1AA Oxford, South East
£80000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client, a prestigious investment management firm in **Oxford, Oxfordshire**, is seeking a highly skilled Quantitative Analyst to join their dynamic team. This role offers the flexibility of remote work, allowing you to contribute your expertise from anywhere. You will play a crucial role in developing, testing, and implementing sophisticated quantitative models and trading strategies across various asset classes. The ideal candidate will possess a strong foundation in mathematics, statistics, econometrics, and computer science, coupled with extensive experience in financial markets. You will be responsible for data analysis, backtesting strategies, risk management, and contributing to the firm's investment decision-making process. This position requires exceptional analytical abilities, proficiency in programming languages such as Python or R, and a deep understanding of financial instruments and market dynamics. You will collaborate with portfolio managers and traders to translate complex quantitative insights into actionable investment decisions.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, implement, and refine quantitative models for asset allocation, risk management, and portfolio optimization.
- Conduct rigorous backtesting and statistical analysis of trading strategies using historical data.
- Analyze large datasets to identify market patterns, inefficiencies, and investment opportunities.
- Build and maintain sophisticated financial models and algorithms.
- Collaborate with portfolio managers and traders to develop and execute data-driven investment strategies.
- Assess and manage the risk associated with quantitative trading strategies.
- Stay abreast of the latest research in quantitative finance, machine learning, and econometrics.
- Communicate complex quantitative findings to both technical and non-technical stakeholders.
- Develop and maintain efficient code for data processing, modeling, and strategy execution.
- Ensure the integrity and accuracy of data used for analysis and model development.
Qualifications:
- Master's degree or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5 years of experience as a Quantitative Analyst, Quant Researcher, or similar role in the financial industry.
- Strong programming skills in Python, R, C++, or similar languages, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy, scikit-learn).
- In-depth knowledge of financial markets, derivatives, and investment strategies.
- Experience with statistical modeling, machine learning techniques, and time series analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex ideas clearly.
- Familiarity with databases and data management techniques.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Investment Strategies
AB10 1AB Aberdeen, Scotland
£65000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
A leading financial institution in Aberdeen, Scotland, UK is seeking an accomplished Senior Quantitative Analyst to spearhead the development and implementation of sophisticated investment strategies. This pivotal role involves leveraging advanced mathematical models, statistical techniques, and cutting-edge programming to drive portfolio performance and manage risk. The successful candidate will play a crucial part in advising investment teams and shaping the firm's strategic financial direction.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement quantitative models for asset allocation, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify investment opportunities and trends.
- Collaborate with portfolio managers to translate investment objectives into quantitative strategies.
- Build and maintain high-performance trading algorithms and execution systems.
- Perform rigorous back-testing and validation of quantitative models.
- Analyze and interpret complex financial data, providing clear and actionable insights to stakeholders.
- Stay abreast of the latest developments in financial markets, quantitative finance, and computational methods.
- Contribute to the development of risk management frameworks and stress testing scenarios.
- Prepare comprehensive reports and presentations on model performance, market analysis, and strategic recommendations.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- 5+ years of experience in quantitative finance, hedge funds, or asset management.
- Expertise in programming languages such as Python (with libraries like NumPy, Pandas, SciPy), R, C++, or MATLAB.
- Strong knowledge of financial markets, instruments, and derivatives.
- Proven experience with statistical modeling, time series analysis, machine learning, and econometrics.
- Experience with large datasets and database management (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Familiarity with risk management principles and regulatory requirements.
- Ability to work effectively in a fast-paced, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Investment Strategies
CF10 1DA Cardiff, Wales
£75000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team in Cardiff, Wales, UK . This hybrid role offers a compelling blend of in-office collaboration and remote flexibility. You will play a crucial role in developing, testing, and implementing sophisticated quantitative models and trading strategies across various asset classes. The ideal candidate will possess a strong background in mathematics, statistics, and programming, coupled with a deep understanding of financial markets. You will work on challenging problems, contribute to investment decision-making, and collaborate with portfolio managers, traders, and risk management teams to drive alpha generation and manage risk effectively.
Responsibilities:
Responsibilities:
- Design, develop, and backtest quantitative investment strategies and models.
- Implement trading algorithms and risk management systems.
- Analyse large datasets to identify market patterns and investment opportunities.
- Collaborate with portfolio managers to refine investment strategies and conduct performance attribution.
- Develop and maintain robust analytical tools and software for quantitative research.
- Monitor market movements and assess the impact of economic events on investment portfolios.
- Conduct rigorous risk assessments and develop mitigation strategies.
- Communicate complex quantitative concepts and findings to both technical and non-technical audiences.
- Stay updated on the latest research in quantitative finance and computational methods.
- Ensure compliance with regulatory requirements and internal policies.
- Master's or PhD in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, or Engineering.
- 5+ years of experience in quantitative analysis, portfolio management, or a related financial role.
- Strong proficiency in programming languages like Python, C++, or R, and experience with financial libraries.
- Deep understanding of financial markets, asset pricing, and risk management principles.
- Experience with data analysis tools and database management (e.g., SQL).
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication abilities.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid work environment.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst, Investment Strategies
RG1 7LU Reading, South East
£80000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a prestigious investment firm, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated trading and investment strategies team. This role is critical in developing and implementing cutting-edge quantitative models for asset allocation, risk management, and portfolio optimization. You will leverage your deep analytical expertise and programming skills to extract insights from vast datasets, design predictive models, and contribute to alpha generation. Responsibilities include conducting rigorous statistical analysis, back-testing trading strategies, and collaborating closely with portfolio managers to translate research into actionable investment decisions. A strong academic background in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science is required, along with a minimum of 5 years of experience in quantitative finance or a similar analytical role. Proficiency in programming languages like Python, R, or C++ is essential, along with extensive experience with financial modeling software and databases. You should possess excellent problem-solving skills, a keen eye for detail, and the ability to communicate complex quantitative concepts clearly to non-technical stakeholders. Experience with machine learning techniques and alternative data sources is a significant plus. This position is based in Reading, Berkshire, UK , and operates on a hybrid working model, offering a dynamic work environment that blends collaboration with flexibility.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Investment Strategies
EC2M 7DT London, London
£90000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a leading global financial institution with significant operations in **London, England**, is seeking an experienced Senior Quantitative Analyst to join their dynamic trading and investment strategies team. This is a fully remote position, offering a unique chance to leverage your analytical prowess and programming skills within a fast-paced, intellectually stimulating environment. You will be at the forefront of developing, testing, and implementing sophisticated quantitative models that drive investment decisions across various asset classes. Responsibilities include researching and designing new trading algorithms, back-testing strategies using historical market data, and continuously optimising existing models for performance and efficiency. A deep understanding of financial markets, econometrics, and statistical modelling is paramount. Expertise in programming languages such as Python (with libraries like NumPy, Pandas, SciPy), R, or C++ is essential for model development and implementation. You will work closely with portfolio managers, traders, and other quantitative researchers, translating complex mathematical concepts into actionable trading strategies. Experience with large datasets and database management (e.g., SQL) is highly valued. The role requires a strong ability to communicate complex technical findings to both technical and non-technical audiences. You will also be involved in risk management analysis, ensuring the robustness and compliance of all developed strategies. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Physics, Computer Science, or a related discipline, coupled with several years of relevant industry experience. A proactive mindset, meticulous attention to detail, and a passion for financial innovation are crucial for success in this role.
Key Responsibilities:
Key Responsibilities:
- Develop, back-test, and implement quantitative trading strategies.
- Design and optimise algorithms for various asset classes.
- Conduct statistical and econometric analysis of market data.
- Collaborate with portfolio managers and traders to inform investment decisions.
- Build and maintain robust financial models using Python, R, or C++.
- Perform risk analysis and ensure strategy compliance.
- Communicate complex quantitative concepts clearly.
- Stay abreast of market trends and new research in quantitative finance.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Investment Strategies
PO1 3EX Portsmouth, South East
£70000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a distinguished financial institution based in **Portsmouth, Hampshire, UK**, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated Investment Strategies team. This role is primarily remote, offering the flexibility to work from anywhere within the UK while contributing to critical financial modeling and strategy development. You will be responsible for designing, developing, and implementing complex quantitative models to support investment decisions across various asset classes. This includes developing algorithms for trading, risk management, portfolio optimization, and performance attribution. Your work will involve extensive data analysis, statistical modeling, backtesting, and simulation to validate and refine investment strategies. Collaboration with portfolio managers, traders, and risk managers is key to translating business needs into quantitative solutions. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with significant practical experience in financial markets. Proficiency in programming languages such as Python, R, or C++ is essential, as is a deep understanding of financial instruments, derivatives, and econometrics. You will be expected to stay abreast of the latest academic research and market trends, contributing innovative ideas to the team. This role requires excellent problem-solving skills, meticulous attention to detail, and the ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. While primarily remote, occasional travel to the **Portsmouth** office for key meetings may be required.
Qualifications:
Qualifications:
- MSc or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Strong experience in financial modeling, statistical analysis, and econometrics.
- Proficiency in programming languages such as Python, R, or C++.
- Knowledge of financial markets, instruments, and derivatives.
- Experience with risk management and portfolio optimization techniques.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage complex projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Quantitative Analyst - Investment Strategies
EC2N 2DB London, London
£70000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a prestigious investment bank, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their sophisticated trading division in the heart of London, England, UK . This critical role will involve developing and implementing complex mathematical models and quantitative strategies to drive trading decisions and manage risk within global financial markets.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and backtest sophisticated trading algorithms and quantitative models for various asset classes.
- Conduct rigorous statistical analysis and data mining of large financial datasets to identify trading opportunities.
- Implement and optimize trading strategies across different execution platforms.
- Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
- Manage and maintain existing quantitative models, ensuring their accuracy and performance.
- Stay current with market developments, financial regulations, and new quantitative techniques.
- Develop risk management frameworks and tools to monitor and control portfolio exposures.
- Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
- Contribute to the team's research efforts and mentor junior analysts.
- Ensure compliance with all relevant financial regulations and internal policies.
Qualifications:
- Advanced degree (MSc or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 4-6 years of relevant experience in quantitative analysis, algorithmic trading, or risk management within the financial services industry.
- Proficiency in programming languages such as Python, C++, or R, with a strong emphasis on numerical computation libraries.
- Deep understanding of financial markets, derivatives pricing, and statistical modeling techniques.
- Experience with large-scale data analysis and database management (SQL).
- Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
- Strong communication and interpersonal skills to effectively collaborate with trading teams.
- A proven track record of developing and implementing successful quantitative strategies.
- Familiarity with machine learning techniques is a plus.
- Ability to thrive in a demanding, results-driven environment.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Investment Strategies
AB10 1BT Aberdeen, Scotland
£80000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a prominent firm within the Banking & Finance sector, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated, fully remote team. This role is instrumental in developing, testing, and implementing complex quantitative models and strategies for investment management, risk assessment, and financial product pricing. You will work with large datasets, advanced statistical techniques, and programming languages to generate insights and drive informed decision-making. Responsibilities include designing and back-testing trading algorithms, developing risk models, pricing complex derivatives, and contributing to the firm's overall investment strategy. The ideal candidate will possess a strong academic background in a quantitative discipline, such as Mathematics, Statistics, Physics, or Computer Science, coupled with significant practical experience in quantitative finance. Expertise in programming languages like Python, R, C++, or similar, along with proficiency in statistical modeling and machine learning techniques, is essential. You should be adept at translating complex financial concepts into robust quantitative frameworks and communicating technical findings clearly to both quantitative and non-quantitative audiences. This is an exceptional opportunity for a self-driven individual to make a significant impact on investment performance and risk management within a leading financial institution, working entirely remotely.
Key Responsibilities:
Key Responsibilities:
- Develop and implement quantitative models for trading, risk management, and portfolio optimization.
- Design, test, and refine investment strategies and algorithms.
- Analyze large financial datasets to identify market trends and opportunities.
- Price complex financial derivatives and structured products.
- Collaborate with portfolio managers and traders to implement quantitative strategies.
- Conduct rigorous back-testing and performance analysis of models.
- Stay abreast of advancements in quantitative finance, machine learning, and statistical modeling.
- Communicate complex quantitative concepts and results to stakeholders.
- Master's or PhD in a quantitative field (e.g., Mathematics, Statistics, Physics, Financial Engineering).
- Minimum of 5 years of experience in quantitative analysis within the financial industry.
- Strong programming skills in Python, R, C++, or similar languages.
- Expertise in statistical modeling, time series analysis, and machine learning.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Proven ability to handle and analyze large, complex datasets.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and manage projects effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst - Investment Strategies
L2 5RE Liverpool, North West
£80000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a prestigious global investment firm, is seeking an exceptional Senior Quantitative Analyst to join their innovative and fully remote investment strategies team. This role is pivotal in developing, implementing, and managing sophisticated quantitative models that drive our investment decision-making process. You will be responsible for conducting in-depth market research, backtesting strategies, and deriving actionable insights from large datasets to identify profitable investment opportunities. As a remote-first organization, we cultivate a highly collaborative and intellectually stimulating environment, empowering our team members with cutting-edge tools and resources to thrive. The ideal candidate possesses a strong academic background in a quantitative discipline (e.g., Finance, Mathematics, Statistics, Physics, Computer Science), coupled with extensive experience in financial modeling, econometrics, and statistical analysis. Proficiency in programming languages commonly used in quantitative finance, such as Python or R, is essential. Exceptional analytical, problem-solving, and communication skills are required to articulate complex findings to stakeholders. This position offers a unique opportunity to contribute to the development of groundbreaking investment strategies in a dynamic and challenging market landscape. The role is based in **Liverpool, Merseyside, UK**, but operates entirely remotely, offering the flexibility to work from home across the UK. Responsibilities:
- Design, develop, and implement quantitative trading strategies and investment models.
- Conduct rigorous backtesting and performance evaluation of strategies.
- Analyze large financial datasets to identify market trends and trading opportunities.
- Perform econometric and statistical analysis of financial instruments and markets.
- Collaborate with portfolio managers and traders to refine and deploy strategies.
- Develop and maintain risk management frameworks for quantitative strategies.
- Stay abreast of the latest research in quantitative finance and machine learning.
- Communicate complex analytical findings to both technical and non-technical audiences.
- Contribute to the continuous improvement of the firm's quantitative infrastructure.
- Master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Proven experience in developing and implementing quantitative trading strategies.
- Strong proficiency in statistical modeling, time series analysis, and econometrics.
- Expertise in programming languages such as Python (with libraries like NumPy, Pandas, SciPy) or R.
- Experience with machine learning techniques applied to finance is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote team.
This advertiser has chosen not to accept applicants from your region.
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