1 to 25 of 28 Permanent Time Series Analysis Jobs in England

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression … analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data More ❯

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression … analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data More ❯

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression … analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data More ❯

UK power and gas market. Your contributions will be essential to the development of our stack model, balance model, margin-based model, and price analysis tools. Responsibilities: Collaborate with the Trading Team to understand and address their requirements for the analytics platform. Be integrated to the Trading Desk to … platforms and tools that meet business needs. Contribute to the decision making process of the trading strategies. Utilise Python programming language for data processing, analysis, and modelling in the Power and Gas market. Conduct time series analysis, including data pre-processing, feature extraction, web scraping, model … selection, and evaluation. Visualise analysis results using tools like Metabase, creating clear and informative dashboards and reports. Develop Position Balance, Market stacks and price forecast models. Evaluate and monitor the accuracy and effectiveness of external price forecast models. Develop analytics related to Power and Gas fundamentals, such as system More ❯

belts and air bags to leading in pricing sophistication, telematics, and device and identity protection. Your role in the team The Enterprise Economics & Risk Analysis (EERA) team is a cross-functional unit operating at the heart of decision-making at Allstate. The team quantifies and optimizes risk and return … to join the Economic Capital branch of EERA to support economic capital decision-making and business-wide risk analysis. The role involves performing quantitative analysis and research, specifically dynamic multi-factor risk modeling and scenario analysis, and assisting in the development of our Economic Capital framework based on … multivariate conditional time series analysis. The team comprises econometricians, economists, quantitative analysts, coders, and financial analysts. Key responsibilities Research, develop, and implement time-series models across investment, underwriting, and other risk types. Assist in managing and improving the enterprise risk modeling framework and scenario analysis. Support More ❯

work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It's an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your … with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock … and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making. We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 5 consecutive years, to see what it More ❯

Graduate Quantitative Analyst Department: Markets Employment Type: Permanent - Full Time Location: London Reporting To: Nicky Ferguson Description Energy Aspects is seeking a Quantitative Analyst/Strategist to join our industry leading Quant Analytics team. The Quant Analytics service focuses on modelling market participants and financial flows in commodity and … responsibilities and will contribute to the full life cycle of our work, from original quantitative research development, building and maintaining models, carrying out detailed analysis, delivering compelling market coverage, and delivering our core views to clients. The position will be responsible for preparing and contributing to our publications, with … a focus on the paper side of commodity markets. This will involve you carrying out a comprehensive analysis of futures market pricing developments, futures and options participant flows and positioning analysis, and integrating this with our wider global analysis to create forward-looking tradeable views. You will More ❯

highly visible role, you will work directly with senior leaders, C-suite executives, and external clients to address complex business challenges through advanced quantitative analysis and research. Your insights will play a critical role in shaping strategic decisions and enhancing data-driven solutions across the organisation. Your Responsibilities Develop … bodies Proactively share knowledge and promote best data practices with internal colleagues Mentor junior team members Your Profile Mandatory: around 3+ years in quantitative analysis on the buy- or sell-side with a sound understanding of FX market structure, trading strategies and risk management principles Experienced with time-series analysis, econometrics, and machine learning techniques Strong Python and SQL skills with experience in numerical computing and statistical analysis Experience using notebooks (e.g. Jupyter), Tableau or other data science tools for analysis and visualization A self-starter, with a track record of working independently More ❯

Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000/year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real … time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be … responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we More ❯

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. More ❯

analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate closely with quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions Implement robust machine learning pipelines … AWS, GCP, Azure) Excellent understanding of distributed computing and big data technologies Technical Skills Advanced machine learning and deep learning techniques Natural language processing Time series analysis and forecasting Reinforcement learning Big data technologies (Spark, Hadoop) Cloud infrastructure and containerization (Docker, Kubernetes) Version control and CI/ More ❯

analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate closely with quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions Implement robust machine learning pipelines … AWS, GCP, Azure) Excellent understanding of distributed computing and big data technologies Technical Skills Advanced machine learning and deep learning techniques Natural language processing Time series analysis and forecasting Reinforcement learning Big data technologies (Spark, Hadoop) Cloud infrastructure and containerization (Docker, Kubernetes) Version control and CI/ More ❯

analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate closely with quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions Implement robust machine learning pipelines … AWS, GCP, Azure) Excellent understanding of distributed computing and big data technologies Technical Skills Advanced machine learning and deep learning techniques Natural language processing Time series analysis and forecasting Reinforcement learning Big data technologies (Spark, Hadoop) Cloud infrastructure and containerization (Docker, Kubernetes) Version control and CI/ More ❯

BloombergNEF (BNEF) is seeking a versatile and highly motivated individual to join our European gas analysis team for a 6 month contract. To succeed in this role, you will have a genuine passion and enthusiasm for data and quantitative methods alongside a genuine appreciation of the importance of data. … In this role you will be focused on ensuring the data used in our research and analysis is sourced, stored, modelled and visualized to the highest possible standards whilst also helping build our new generation of client-facing tools. You will need to be well-developed on quantitative and … qualitative analysis skills along with a particular interest in critically analyzing complex subjects. Applications from candidates with an academic or career related expertise in gas markets or similar are particularly welcome. BNEF is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to More ❯

who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can … A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop … work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational More ❯

A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop … work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer More ❯

A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop … work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer More ❯

A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop … work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer More ❯

proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and More ❯

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 … 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 More ❯

Machine Learning, Computer Science, Mathematics, Physics, or related fields). Up to 2 years of experience in machine learning, preferably applied to financial markets, time-series analysis, or similar data-intensive domains. Deep theoretical knowledge of machine learning, with expertise in areas such neural networks and statistical 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 … 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 More ❯

Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. We are committed to creating a diverse environment and are proud to be an equal-opportunity More ❯

Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯

Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯