1,144 Financial Modeling jobs in the United Kingdom
Quantitative Analyst, Financial Modeling
Posted 4 days ago
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Job Description
Responsibilities:
- Develop, implement, and test sophisticated quantitative models for financial markets.
- Conduct rigorous statistical analysis and data mining on large financial datasets.
- Design and build algorithms for pricing, risk management, and algorithmic trading.
- Collaborate with business stakeholders to understand requirements and develop tailored solutions.
- Validate model assumptions and performance against market data.
- Document models, methodologies, and research findings comprehensively.
- Stay current with academic research and industry best practices in quantitative finance.
- Optimize model performance and efficiency.
- Contribute to the development of the firm's quantitative infrastructure.
- Present findings and model outputs to senior management and relevant teams.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Demonstrable experience in quantitative modeling within the financial industry.
- Strong programming skills in Python, C++, R, or similar languages.
- Proficiency with data analysis, statistical modeling, and machine learning techniques.
- In-depth knowledge of financial markets, derivatives, and risk management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts.
- Ability to work independently and manage projects effectively in a remote environment.
Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
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.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and maintain sophisticated mathematical models for pricing and risk management of financial instruments.
- Design and validate algorithms for trading strategies, portfolio optimization, and risk exposure calculations.
- Analyze large and complex datasets to identify market trends and opportunities.
- Collaborate with trading desks, portfolio managers, and risk management teams to provide quantitative insights.
- Conduct rigorous back-testing and stress-testing of models and strategies.
- Research and apply advanced statistical techniques and numerical methods to financial problems.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical audiences.
- Contribute to the development of new financial products and services.
- Ensure compliance with regulatory requirements and internal risk policies.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- MSc or PhD in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proven expertise in programming languages such as Python, C++, R, or Java.
- Strong knowledge of stochastic calculus, time series analysis, econometrics, and numerical methods.
- Experience with derivative pricing models, risk management frameworks, and portfolio optimization techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities.
- Ability to work effectively in a fast-paced, team-oriented environment.
Senior Quantitative Analyst - Financial Modeling
Posted 6 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated quantitative models for financial markets, including pricing, hedging, and risk management.
- Perform complex data analysis using statistical and machine learning techniques.
- Develop and maintain algorithms for trading strategies, portfolio optimisation, and risk assessment.
- Validate existing models and provide insights into their performance and limitations.
- Collaborate with traders, portfolio managers, and risk managers to understand their quantitative needs and provide solutions.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Translate complex mathematical concepts into clear, actionable insights for business stakeholders.
- Develop efficient and robust code in languages such as Python, R, C++, or Java.
- Conduct back-testing and simulation studies to evaluate model performance.
- Contribute to the development and enhancement of the firm's quantitative infrastructure.
- Author technical documentation and present findings to both technical and non-technical audiences.
- Ensure models comply with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Identify opportunities for innovation and improvement in quantitative methodologies.
- Work effectively in a distributed, remote team environment.
Qualifications:
- PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience as a Quantitative Analyst or in a similar role within the financial services industry.
- Proven expertise in developing and implementing financial models for pricing, risk, or trading.
- Strong programming skills in at least one of Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy, TensorFlow).
- Deep understanding of stochastic calculus, time series analysis, econometrics, and machine learning.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to articulate complex quantitative concepts.
- Experience with large datasets and distributed computing environments is a plus.
- Ability to work independently and collaboratively in a remote setting.
Senior Quantitative Analyst - Financial Modeling
Posted 10 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing, risk management, and hedging of financial derivatives.
- Conduct in-depth statistical analysis and data mining to identify trends and patterns in financial markets.
- Validate model performance, assess limitations, and perform back-testing to ensure accuracy and robustness.
- Collaborate with trading desks, risk management, and IT departments to understand business requirements and translate them into quantitative solutions.
- Develop and maintain efficient and well-documented code in languages such as Python, C++, or R.
- Contribute to the design and development of new financial products and strategies.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
- Prepare clear and concise reports and presentations on model methodologies, assumptions, and results for senior management and regulators.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Ensure compliance with internal policies and external regulations.
- Troubleshoot and resolve issues related to model implementation and performance.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Financial Engineering, or Computer Science.
- 5+ years of progressive experience in quantitative analysis within the financial services industry.
- Strong theoretical knowledge and practical experience in financial modeling, including derivative pricing, risk modeling (VaR, CVA), and statistical methods.
- Proficiency in at least one programming language commonly used in quantitative finance (e.g., Python with libraries like NumPy, SciPy, Pandas; C++; R).
- Experience with data analysis and visualization tools.
- Familiarity with financial markets, instruments, and trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Experience with machine learning techniques applied to finance is a plus.
- Knowledge of regulatory frameworks such as Basel III or Solvency II is advantageous.
This hybrid role is based in our client's offices in Newcastle upon Tyne, Tyne and Wear, UK .
Senior Quantitative Analyst - Financial Modeling
Posted 10 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for pricing, risk management, and trading strategies.
- Conduct complex data analysis and statistical modeling to identify market trends and potential risks.
- Contribute to the design and enhancement of the firm's risk infrastructure and reporting systems.
- Work closely with front-office traders, portfolio managers, and risk officers to provide quantitative insights and solutions.
- Perform stress testing and scenario analysis on existing portfolios and financial products.
- Ensure model compliance with regulatory requirements and internal policies.
- Document model methodologies, assumptions, and limitations thoroughly.
- Stay abreast of the latest academic research and industry best practices in quantitative finance.
- Mentor junior quantitative analysts and contribute to knowledge sharing within the team.
- Present complex findings and recommendations to senior management and stakeholders.
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Economics.
- Proven experience (5+ years) in quantitative finance, with a strong focus on model development and validation.
- Expertise in financial derivatives, market risk, credit risk, or asset pricing.
- Advanced programming skills in languages such as Python, C++, or R, and experience with data manipulation libraries.
- Proficiency in SQL and experience working with large financial datasets.
- Solid understanding of statistical modeling techniques, time series analysis, and machine learning algorithms.
- Familiarity with regulatory frameworks like Basel III, FRTB, or Solvency II is advantageous.
- Excellent analytical, problem-solving, and communication skills.
- Ability to articulate complex quantitative concepts to non-technical audiences.
- Team player with a proactive approach to identifying and addressing challenges.
Senior Quantitative Analyst - Financial Modeling
Posted 14 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, validate, and implement complex quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify market trends, correlations, and predictive signals.
- Design and conduct back-testing and stress-testing of financial models to assess performance and robustness.
- Collaborate with traders, portfolio managers, and risk officers to understand business needs and translate them into modeling requirements.
- Implement models in production environments using programming languages such as Python, R, or C++.
- Monitor the performance of existing models and implement necessary adjustments or enhancements.
- Stay current with academic research and industry best practices in quantitative finance.
- Prepare clear and concise documentation for models, methodologies, and results.
- Communicate complex technical findings to non-technical stakeholders.
- Ensure compliance with regulatory requirements and internal policies.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Strong proficiency in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Expertise in programming languages commonly used in quant finance, such as Python (with libraries like NumPy, SciPy, Pandas, scikit-learn), R, or C++.
- Solid understanding of financial markets, instruments, and derivatives.
- Experience with data manipulation and analysis tools.
- Excellent problem-solving and analytical skills, with a high degree of accuracy and attention to detail.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts effectively.
- Experience with large datasets and database technologies is a plus.
- Ability to work effectively both independently and collaboratively in a hybrid work setting.
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Senior Quantitative Analyst - Financial Modeling
Posted 17 days ago
Job Viewed
Job Description
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.
Senior Quantitative Analyst (Financial Modeling)
Posted 19 days ago
Job Viewed
Job Description
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.
Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
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.