26 to 44 of 44 Time Series Analysis Jobs in England

liquid and illiquid assets Model specific risks such as concentration charges and wrong way risk. Contribute strongly to "hands-on" and ad-hoc requests for development and solutions in time-critical situations. Interact with risk departments to provide support for existing clearing house quantitative models. Interact with technology groups for production implementation design. Contribute to the core quantitative library … or a relevant scientific field. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics, particularly time series analysis. Strong C++ and Python required. Capable of working under pressure within a diverse team to accommodate tight deadlines. Great attention to detail with ability to work More ❯

strategies to optimize operations, forecast performance, and support strategic decision-making Close interface with Commercial Team supporting overall development of a data platform for the projects For the monitoring, analysis & scheduling of all assets and act as the key interface between all stakeholders Qualifications Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. Experience … with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). More ❯

strategies to optimize operations, forecast performance, and support strategic decision-making Close interface with Commercial Team supporting overall development of a data platform for the projects For the monitoring, analysis & scheduling of all assets and act as the key interface between all stakeholders Qualifications Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. Experience … with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). More ❯

research and deliver on complex projects. Key Responsibilities: Perform in-depth quantitative research of ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile: 7-10 years More ❯

with strategic advice Responsibilities: Bachelor’s or master’s degree in a highly quantitative field (mathematics, statistics, physics, computer science, etc) Strong knowledge of statistics Knowledge of machine learning, time-series analysis, pattern recognition, and NLP Independent research experience Excellent analytical skills More ❯

with strategic advice Responsibilities: Bachelor’s or master’s degree in a highly quantitative field (mathematics, statistics, physics, computer science, etc) Strong knowledge of statistics Knowledge of machine learning, time-series analysis, pattern recognition, and NLP Independent research experience Excellent analytical skills More ❯

for the Commodity business. Key Activities and Key Competencies: Develop technical, market, product and technological expertise in order to expand the business’s capabilities on gas and power fundamental analysis and market making. Work with the Head of European energy trading and the Head of Commodity trading to implement, calibrate and maintain the team’s various power and gas … Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. More ❯

for the Commodity business. Key Activities and Key Competencies: Develop technical, market, product and technological expertise in order to expand the business’s capabilities on gas and power fundamental analysis and market making. Work with the Head of European energy trading and the Head of Commodity trading to implement, calibrate and maintain the team’s various power and gas … Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. More ❯

KDB+ Developer – Front Office | London | £90k–£120k 🏢 Location: London, UK (Hybrid – 2–3 days onsite) 💼 Job Type: Full-Time | Permanent 🧭 Sector: Financial Services/Investment Banking/Trading 💰 Salary: £90,000–£120,000 🚀 About the Role We're seeking a high-performing KDB+ Developer to join a world-leading investment bank’s Front Office Quantitative Technology team in London … . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha-generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+ …/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tick data capture , data normalisation , and time-series analysis . Contribute to More ❯

KDB+ Developer – Front Office | London | £90k–£120k 🏢 Location: London, UK (Hybrid – 2–3 days onsite) 💼 Job Type: Full-Time | Permanent 🧭 Sector: Financial Services/Investment Banking/Trading 💰 Salary: £90,000–£120,000 🚀 About the Role We're seeking a high-performing KDB+ Developer to join a world-leading investment bank’s Front Office Quantitative Technology team in London … . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha-generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+ …/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tick data capture , data normalisation , and time-series analysis . Contribute to More ❯

excel in dynamic environments, we’d like to connect with you. Key Responsibilities: • Build and support pricing models across products traded within the macro business • Build processes for real-time P&L and risk calculations used by portfolio managers • Assist PMs and analysts in creating customized tools utilizing proprietary analytics • Construct and implement macroeconomic data series for analytical … code • Prior experience with interest rate swaps, options, fixed income futures, and FX; familiarity with pricing/risk libraries for live and historical analytics • Strong grasp of statistics, particularly time series analysis and regression techniques • Highly organized, with the ability to clearly present findings and iterate with PMs as needed More ❯

excel in dynamic environments, we’d like to connect with you. Key Responsibilities: • Build and support pricing models across products traded within the macro business • Build processes for real-time P&L and risk calculations used by portfolio managers • Assist PMs and analysts in creating customized tools utilizing proprietary analytics • Construct and implement macroeconomic data series for analytical … code • Prior experience with interest rate swaps, options, fixed income futures, and FX; familiarity with pricing/risk libraries for live and historical analytics • Strong grasp of statistics, particularly time series analysis and regression techniques • Highly organized, with the ability to clearly present findings and iterate with PMs as needed More ❯

excel in dynamic environments, we’d like to connect with you. Key Responsibilities: • Build and support pricing models across products traded within the macro business • Build processes for real-time P&L and risk calculations used by portfolio managers • Assist PMs and analysts in creating customized tools utilizing proprietary analytics • Construct and implement macroeconomic data series for analytical … code • Prior experience with interest rate swaps, options, fixed income futures, and FX; familiarity with pricing/risk libraries for live and historical analytics • Strong grasp of statistics, particularly time series analysis and regression techniques • Highly organized, with the ability to clearly present findings and iterate with PMs as needed More ❯

and deploy automated intraday and mid-frequency trading strategies using machine learning models and advanced quantitative methods. You'll work with large datasets, applying statistical techniques to drive real-time trading decisions. As part of a lean, skilled team, you will contribute across the entire pipeline, from data preprocessing to model deployment, ensuring the integration of research and real … time execution. This hands-on role combines quantitative research with software engineering, requiring strong coding abilities and the application of CI/CD, DevOps, and MLOps principles. Key Responsibilities: Design and execute research experiments to develop innovative models and strategies, evaluating results rigorously. Develop production-ready code for live trading integration, collaborating with developers. Enhance research and trading infrastructure … 2+ years of applied machine learning experience in a commercial or academic setting, or 2+ years in quantitative research or development in trading. Skills : Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization. Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn. Familiarity with Q/KDB and Git. Strong More ❯

providing high-performance infrastructure for institutional participants across both anonymous and disclosed trading workflows. Our platform connects bank and non-bank liquidity providers with buy-side clients in real time, powering a seamless and dynamic marketplace. We are seeking a technically skilled and market-aware analyst to join the liquidity team. You will work closely with product, sales, and … a technical and operational standpoint Build and maintain dashboards or scripts to track latency, quote consistency, and fill performance Handle internal and client-facing requests for data insights, from time-series analysis to order book behavior Participate in the evolution of our automated liquidity tools by surfacing observations from real-world platform usage Collaborate with the product More ❯

providing high-performance infrastructure for institutional participants across both anonymous and disclosed trading workflows. Our platform connects bank and non-bank liquidity providers with buy-side clients in real time, powering a seamless and dynamic marketplace. We are seeking a technically skilled and market-aware analyst to join the liquidity team. You will work closely with product, sales, and … a technical and operational standpoint Build and maintain dashboards or scripts to track latency, quote consistency, and fill performance Handle internal and client-facing requests for data insights, from time-series analysis to order book behavior Participate in the evolution of our automated liquidity tools by surfacing observations from real-world platform usage Collaborate with the product More ❯

providing high-performance infrastructure for institutional participants across both anonymous and disclosed trading workflows. Our platform connects bank and non-bank liquidity providers with buy-side clients in real time, powering a seamless and dynamic marketplace. We are seeking a technically skilled and market-aware analyst to join the liquidity team. You will work closely with product, sales, and … a technical and operational standpoint Build and maintain dashboards or scripts to track latency, quote consistency, and fill performance Handle internal and client-facing requests for data insights, from time-series analysis to order book behavior Participate in the evolution of our automated liquidity tools by surfacing observations from real-world platform usage Collaborate with the product More ❯

Location: City of London Type: Permanent, Full-time, On-site Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. … development for the exchange connectivity FIX/MultiCast Development of algorithmic strategies and market-making strategies C++ execution algorithms for trading desks (TWAP/VWAP, elements of Market Making) Time series analysis, Market research in C++/Python What You'll Bring Strong C++ development skills (multithreading, inter-process communication, low latency, event-driven architecture design, modern More ❯

a related quantitative field. Deep expertise in causal inference, such as causal graphical models, counterfactual reasoning, or invariant representation learning. Strong background in one or more of probabilistic modelling, time series analysis, or dynamical systems. Proficiency in Python and familiarity with scalable ML tooling and high-performance computing. Desirable knowledge or experiences Familiarity with biological datasets, particularly More ❯