12 Quantitative Modeling jobs in the United Kingdom
Quantitative Analyst - Financial Modeling
PO1 2HE Portsmouth, South East
£70000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly analytical and skilled Quantitative Analyst to join their dynamic financial services team. This role is predominantly remote, offering a fantastic opportunity for an individual with expertise in financial modeling and data analysis. You will be responsible for developing and implementing complex quantitative models to support investment strategies, risk management, and product development. This position demands a rigorous approach to problem-solving and a deep understanding of financial markets.
Key Responsibilities:
Key Responsibilities:
- Develop, validate, and implement sophisticated quantitative models for pricing derivatives, portfolio optimization, risk management, and algorithmic trading strategies.
- Conduct in-depth statistical analysis of financial market data to identify trends, patterns, and predictive insights.
- Collaborate with portfolio managers, traders, and risk officers to understand their analytical needs and deliver tailored solutions.
- Create and maintain high-quality code for quantitative models using languages such as Python, R, C++, or MATLAB.
- Back-test trading strategies and evaluate model performance rigorously.
- Contribute to the development and enhancement of the firm's quantitative infrastructure and data analytics capabilities.
- Prepare clear and concise reports and presentations to communicate complex analytical findings to both technical and non-technical audiences.
- Stay abreast of the latest academic research and industry advancements in quantitative finance and econometrics.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Assist in the development and refinement of risk models, including VaR and stress testing.
- Identify opportunities for innovation and efficiency improvements in quantitative processes.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Proven experience (4+ years) as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong programming skills in at least one of the following: Python, R, C++, MATLAB.
- In-depth knowledge of financial markets, instruments, and derivative pricing models.
- Expertise in statistical modeling, time series analysis, machine learning, and data mining techniques.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work effectively both independently and as part of a collaborative, remote team.
- Familiarity with risk management frameworks and regulatory requirements (e.g., Basel) is a plus.
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0
Quantitative Analyst - Financial Modeling
ST1 5NG Staffordshire, West Midlands
£75000 Annually
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Posted 3 days ago
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Job Description
Our client, a respected financial services firm, is seeking a highly skilled Quantitative Analyst to join their expanding team in Stoke-on-Trent, Staffordshire, UK . This role offers the flexibility of remote work, allowing the successful candidate to contribute their expertise from anywhere within the UK. The Quantitative Analyst will be responsible for developing sophisticated financial models, conducting complex data analysis, and contributing to strategic investment decisions.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced quantitative models for pricing, risk management, and portfolio optimization.
- Perform complex statistical analysis on large datasets to identify market trends, correlations, and trading opportunities.
- Back-test and validate models, ensuring their accuracy and robustness.
- Collaborate with portfolio managers and traders to translate business requirements into quantitative solutions.
- Contribute to the development of trading strategies and risk mitigation frameworks.
- Write efficient and well-documented code in languages such as Python, R, or C++.
- Stay abreast of academic research and industry best practices in quantitative finance.
- Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
- Monitor and manage the performance of existing models, making necessary adjustments.
- Ensure compliance with regulatory requirements and internal risk policies.
- Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 3-5 years of experience as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++, SQL).
- In-depth knowledge of statistical modeling, time series analysis, machine learning, and financial mathematics.
- Experience with financial markets, instruments, and risk management concepts.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong communication and presentation skills, with the ability to convey complex ideas simply.
- Detail-oriented with a commitment to accuracy and rigor.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Financial Modeling
M2 3FS Manchester, North West
£70000 Annually
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Posted today
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Job Description
Our client, a prestigious investment bank, is seeking a highly analytical Senior Quantitative Analyst to join their sophisticated financial modeling team in **Manchester, Greater Manchester, UK**. This hybrid role requires deep expertise in financial markets, advanced statistical techniques, and robust programming skills to develop, validate, and implement complex quantitative models. You will play a critical role in supporting trading strategies, risk management, and product development through rigorous analytical insights.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing, risk management, and hedging of financial instruments.
- Conduct in-depth analysis of market data, identifying patterns, trends, and opportunities.
- Perform rigorous back-testing and validation of models to ensure accuracy and reliability.
- Collaborate with traders, portfolio managers, and risk officers to understand their quantitative needs and provide effective solutions.
- Contribute to the development of new trading strategies and financial products through quantitative research.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R for model implementation.
- Stay abreast of academic research and industry advancements in quantitative finance and computational methods.
- Communicate complex quantitative concepts and model results clearly to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and internal risk policies related to model usage.
- Mentor junior analysts and contribute to the team's overall technical expertise.
- Automate data collection and model calibration processes.
- A 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 finance role, preferably within investment banking or asset management.
- Strong knowledge of financial markets, derivatives, and asset pricing theory.
- Expertise in statistical modeling, time series analysis, machine learning, and numerical methods.
- Proficiency in at least one major programming language (e.g., Python, C++, R) and experience with scientific computing libraries.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex ideas effectively.
- Experience working in a hybrid environment, demonstrating adaptability and effective collaboration across different work modes.
- Familiarity with risk management frameworks and regulatory requirements (e.g., Basel III, FRTB) is advantageous.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst (Financial Modeling)
OX1 1UJ Oxford, South East
£80000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a prestigious financial institution in Oxford, Oxfordshire, UK , is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team. This role is crucial for developing and implementing sophisticated financial models that drive strategic decision-making and risk management.
Responsibilities:
Responsibilities:
- Develop, validate, and implement complex quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Perform rigorous statistical analysis and back-testing of models to ensure accuracy and robustness.
- Collaborate closely with traders, portfolio managers, and risk management teams to understand business needs and translate them into modeling requirements.
- Write efficient and well-documented code in languages such as Python, R, C++, or MATLAB for model implementation and data analysis.
- Contribute to the design and enhancement of the firm's trading and risk infrastructure.
- Stay abreast of the latest academic research and industry developments in quantitative finance and financial modeling.
- Prepare comprehensive reports and presentations to communicate model findings and recommendations to senior management and stakeholders.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Ensure compliance with regulatory requirements and internal policies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Financial Engineering, or Computer Science.
- 5+ years of relevant experience in quantitative analysis within the financial services industry.
- Proven expertise in developing and implementing financial models (e.g., stochastic calculus, time series analysis, machine learning).
- Strong programming skills in Python, R, C++, or MATLAB.
- Excellent understanding of financial markets, derivatives, and risk management principles.
- Proficiency in data analysis, statistical modeling, and numerical methods.
- Strong analytical and problem-solving abilities, with exceptional attention to detail.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Experience with large datasets and database technologies (e.g., SQL) is advantageous.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst - Financial Modeling
NG1 1DT Nottingham, East Midlands
£80000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a leading innovator in the financial services sector, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic team. This role is entirely remote, offering unparalleled flexibility. You will be responsible for developing, validating, and implementing complex financial models that drive critical business decisions across trading, risk management, and product development. This position requires a deep understanding of financial markets, advanced statistical techniques, and robust programming skills.
Responsibilities:
Qualifications:
This remote opportunity in Nottingham, Nottinghamshire, UK offers a chance to work on challenging financial problems with a talented team, significantly impacting the firm's success.
Responsibilities:
- Design, build, and maintain sophisticated quantitative models for pricing, risk assessment, and hedging of financial instruments.
- Utilize advanced statistical and machine learning techniques to identify market trends and opportunities.
- Collaborate with traders, portfolio managers, and risk officers to understand their modeling needs and provide solutions.
- Conduct rigorous back-testing and validation of models to ensure accuracy and reliability.
- Develop and implement automated reporting and monitoring tools for model performance.
- Stay current with regulatory changes and their impact on financial modeling requirements.
- Communicate complex analytical results and model insights clearly to both technical and non-technical audiences.
- Contribute to the continuous improvement of the firm's quantitative infrastructure and best practices.
Qualifications:
- Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5-7 years of experience in quantitative finance, with a focus on model development.
- Proficiency in programming languages such as Python, C++, or R, with experience in financial libraries.
- Deep understanding of financial derivatives, market risk, and credit risk.
- Experience with large datasets and databases (SQL, NoSQL).
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a remote, fast-paced environment.
- Demonstrated ability to translate business requirements into quantitative solutions.
This remote opportunity in Nottingham, Nottinghamshire, UK offers a chance to work on challenging financial problems with a talented team, significantly impacting the firm's success.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Financial Modeling
DE1 2DB Derby, East Midlands
£75000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their team in **Derby, Derbyshire, UK**. This role is crucial for developing and implementing sophisticated financial models, driving strategic decision-making, and managing risk. You will work closely with trading desks, risk management, and technology teams to create cutting-edge analytical solutions. The ideal candidate possesses a deep understanding of financial markets, advanced mathematical skills, and proficiency in programming languages used for quantitative analysis.
Responsibilities:
Responsibilities:
- Develop, validate, and implement complex quantitative models for pricing, risk management, and trading strategies across various asset classes (e.g., equities, fixed income, derivatives).
- Analyze large datasets to identify market trends, assess risk exposures, and support investment decisions.
- Collaborate with traders, portfolio managers, and risk officers to understand their analytical needs and provide tailored solutions.
- Design and execute back-testing and scenario analysis for developed models.
- Ensure models are compliant with regulatory requirements and internal policies.
- Contribute to the technological infrastructure supporting quantitative research and development.
- Develop and maintain clear and concise documentation for all models and methodologies.
- Present complex quantitative findings to both technical and non-technical stakeholders.
- Identify opportunities for model improvement and innovation.
- Mentor junior quantitative analysts and contribute to team development.
- Stay abreast of industry best practices, emerging financial instruments, and regulatory changes.
- Work closely with IT teams to ensure efficient implementation and deployment of models.
- Master's degree or PhD in a quantitative field such as Mathematics, Physics, Statistics, Economics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in a quantitative analyst role within investment banking, asset management, or a hedge fund.
- Strong expertise in financial modeling, including stochastic calculus, time series analysis, and derivative pricing.
- Proficiency in programming languages such as Python, C++, R, or MATLAB.
- Experience with financial databases and data manipulation tools (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong understanding of financial markets, trading strategies, and risk management principles.
- Ability to communicate complex technical concepts effectively to diverse audiences.
- Experience with risk management frameworks (e.g., VaR, CVA, XVA) is a plus.
- Familiarity with machine learning techniques applied to finance is advantageous.
- Ability to work effectively in a fast-paced, team-oriented environment.
This advertiser has chosen not to accept applicants from your region.
5
Lead Quantitative Analyst - Financial Modeling
G2 4BD Glasgow, Scotland
£90000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is searching for an exceptional Lead Quantitative Analyst to spearhead their financial modeling initiatives. This fully remote position offers the chance to work on complex financial instruments and strategies from the comfort of your home office. You will be responsible for developing, validating, and implementing sophisticated quantitative models that drive critical business decisions in trading, risk management, and product development. This role requires a deep understanding of financial markets, advanced mathematics, and cutting-edge programming techniques.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, test, and deploy advanced quantitative models for pricing, risk management, and hedging of financial derivatives.
- Lead a team of quantitative analysts, providing technical guidance and mentorship.
- Collaborate with traders, portfolio managers, and risk officers to understand their modeling needs.
- Perform rigorous back-testing and validation of model performance against market data.
- Identify and research new mathematical approaches and statistical techniques for financial modeling.
- Contribute to the design and implementation of robust data infrastructure for quantitative analysis.
- Communicate complex modeling concepts and results clearly to diverse stakeholders.
- Stay updated with regulatory changes and their impact on financial modeling requirements.
- Ensure compliance with internal policies and industry best practices.
- Drive innovation in quantitative research and model development.
Qualifications:
- Master's or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative finance, with at least 2 years in a lead or senior role.
- Strong expertise in stochastic calculus, time series analysis, and numerical methods.
- Proficiency in programming languages commonly used in quant finance, such as Python (NumPy, SciPy, Pandas), C++, or R.
- Experience with large datasets and database technologies (e.g., SQL).
- Deep understanding of various financial markets (equities, fixed income, derivatives).
- Proven ability to lead projects and mentor junior team members.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
- Demonstrated success in developing and deploying production-level quantitative models.
- Must be able to work effectively in a fully remote setting.
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6
Senior Quantitative Analyst - Financial Modeling
BN1 1AA East Sussex, South East
£75000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their sophisticated team in **Brighton, East Sussex, UK**. This role is instrumental in developing, implementing, and validating complex financial models that drive critical business decisions across trading, risk management, and product development. The ideal candidate will possess a strong mathematical background, exceptional programming skills, and a deep understanding of financial markets.
Key Responsibilities:
Qualifications and Skills:
Key Responsibilities:
- Design, develop, and implement cutting-edge quantitative models for pricing derivatives, assessing risk, and optimizing trading strategies.
- Perform rigorous back-testing and validation of models to ensure accuracy, robustness, and compliance with regulatory requirements.
- Collaborate closely with traders, portfolio managers, risk officers, and IT teams to understand business needs and translate them into quantitative solutions.
- Analyze large datasets to identify market trends, generate insights, and inform model enhancements.
- Contribute to the development and enhancement of the firm's risk management framework through sophisticated modeling techniques.
- Research and evaluate new quantitative methodologies and technologies to improve modeling capabilities.
- Document model specifications, assumptions, methodologies, and limitations thoroughly.
- Present complex quantitative concepts and findings clearly and concisely to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to the team's overall technical expertise.
- Ensure adherence to all internal policies and external regulations governing financial modeling and risk management.
Qualifications and Skills:
- Master's degree or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in a quantitative analysis role within the financial services industry.
- Strong proficiency in programming languages commonly used in quantitative finance, such as Python (NumPy, SciPy, Pandas), C++, or R.
- Extensive experience with financial modeling techniques, including Monte Carlo simulations, time series analysis, stochastic calculus, and econometrics.
- Deep understanding of financial derivatives, fixed income, equities, and risk management principles.
- Experience with data manipulation and database technologies (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills, with the ability to articulate complex ideas.
- Ability to work independently and collaboratively in a fast-paced, team-oriented environment.
- Familiarity with regulatory frameworks such as Basel III and Solvency II is a plus.
- Experience working in a hybrid office setup, balancing remote collaboration with in-person meetings.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst (Financial Modeling)
AB24 3BG Aberdeen, Scotland
£70000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic team. This role offers a hybrid working arrangement, blending remote flexibility with essential in-office collaboration. You will be instrumental in developing and implementing sophisticated quantitative models for risk management, pricing, and trading strategies. This position demands a strong foundation in mathematics, statistics, programming, and financial markets, with a proven ability to translate complex financial concepts into actionable analytical solutions.
Responsibilities:
Responsibilities:
- Develop, test, and implement complex mathematical and statistical models for financial risk assessment, asset valuation, and portfolio optimization.
- Design and build pricing models for various financial instruments, including derivatives and structured products.
- Conduct rigorous backtesting and validation of models to ensure accuracy and robustness.
- Collaborate with trading desks, portfolio managers, and risk management teams to understand their analytical needs and provide tailored solutions.
- Translate business requirements into technical specifications for model development.
- Write clean, efficient, and well-documented code in languages such as Python, R, or C++.
- Analyze large datasets to identify trends, patterns, and insights relevant to financial markets.
- Stay current with industry best practices, regulatory changes, and emerging quantitative techniques.
- Prepare comprehensive documentation of models, methodologies, and results.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of trading strategies and risk management frameworks.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Expertise in developing and implementing models for pricing, risk, or trading.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, instruments, and derivatives.
- Excellent analytical, problem-solving, and statistical modeling skills.
- Ability to work effectively in a hybrid work environment, balancing remote and in-office responsibilities.
- Strong written and verbal communication skills.
- Experience with big data technologies and machine learning techniques is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst, Financial Modeling
CV1 1AA Coventry, West Midlands
£85000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated, fully remote financial analytics team. This role is pivotal in developing and implementing complex mathematical models and quantitative strategies to support investment decisions, risk management, and trading operations across global markets.
The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive practical experience in financial modeling, statistical analysis, and programming. You will be adept at using languages such as Python, R, or C++ to build, test, and deploy predictive models for asset pricing, portfolio optimization, and risk assessment. Collaboration with portfolio managers, traders, and risk officers will be essential, requiring clear communication of intricate quantitative concepts through virtual channels.
Key Responsibilities:
The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive practical experience in financial modeling, statistical analysis, and programming. You will be adept at using languages such as Python, R, or C++ to build, test, and deploy predictive models for asset pricing, portfolio optimization, and risk assessment. Collaboration with portfolio managers, traders, and risk officers will be essential, requiring clear communication of intricate quantitative concepts through virtual channels.
Key Responsibilities:
- Develop, validate, and implement sophisticated quantitative models for financial markets.
- Conduct in-depth statistical analysis and data mining of large financial datasets.
- Design and test trading algorithms and investment strategies.
- Perform risk analysis and develop risk management models.
- Collaborate with portfolio managers and traders to provide quantitative insights.
- Optimize existing models for performance and accuracy.
- Stay abreast of the latest developments in quantitative finance and econometrics.
- Write clean, efficient, and well-documented code in languages like Python, R, or C++.
- Present complex quantitative findings to stakeholders in a clear and understandable manner.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis within the financial services industry.
- Proven expertise in financial modeling, time-series analysis, and statistical techniques.
- Strong programming skills in Python, R, C++, or similar languages.
- Experience with financial data vendors (e.g., Bloomberg, Refinitiv) and databases.
- Knowledge of derivatives pricing, risk management, and portfolio optimization.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities, effective in a remote team environment.
- Ability to work independently and manage multiple projects simultaneously.
This advertiser has chosen not to accept applicants from your region.
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