1 to 25 of 46 Time Series Analysis Jobs in England

mentor and supervise junior team members and interns.You will;Design and improve deep learning and related machine learning forecasting models for large-scale retail time series.Build robust training and backtesting pipelines (time-aware CV, leakage controls, stability checks).Apply best practices for productionisation (monitoring, retraining strategies, performance … scalable, and deliver measurable business value.You will need: We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project ...

applying their technical and quantitative skills to real-world investment opportunities and portfolio management. The Role You will play a key role in the analysis of new investment opportunities, working closely with experienced investment professionals across structured finance and mortgages. Key responsibilities will include: Cleansing, manipulating and summarising large … investment data sets and loan-level data tapes. Analysing loan-level time-series data to produce vintage and time-series analysis of defaults, recoveries, prepayments and other portfolio characteristics. Combining and aggregating data from multiple sources to identify patterns, correlations and trends. Deriving modelling assumptions ...

depth developed through industry experience is equally valued; expertise matters more than the credential Fluent in Python Strong experience with regression and classification, clustering, time-series analysis, anomaly detection, sequence-to-sequence architectures and stochastic optimisation Able to solve ambiguous problems independently and determine next steps without … building team capabilities. Highest-signal resume keywords Machine Learning Artificial Intelligence Python Programming Model Development Data Science Leadership ATS Optimization Keywords Hard Skills Regression Analysis Classification Clustering Time-Series Analysis Anomaly Detection Stochastic Optimisation Experiment Design Model Validation Model Deployment Monitoring Soft Skills Problem Solving Mentoring ...

data and AI/ML pipelines for advanced analytics and automated insight generation Apply machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis Prepare, transform and integrate large multi-source datasets, including sensor, geospatial and communications data Develop predictive models, prototypes and proof … multi-disciplinary agile teams with mission analysts and operational users Deliver intelligence data exploitation, advanced analytics, operational decision-support systems, data triage and automated analysis of large datasets Requirements Experience working in secure or highly regulated environments Understanding of handling sensitive or classified data Strong knowledge of modern data ...

Senior Management is expected. Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives). Conduct data exploration, statistical analysis, and time series … MATLAB, C++ or Java preferred. Working knowledge of relational databases (Oracle, Postgres, Snowflake) and version control tools (Git). Solid understanding of statistics, time series analysis, and financial derivatives pricing and risk management. Ability to work under pressure in a high-performance environment with tight deadlines. Excellent ...

evolve ambitious prototypes into a rock‐solid, scalable platform What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines … over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing ...

accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part‐time working patterns across our many business areas, which meansthat we can find something that works for you. We work in a more blended … will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations). Collaborate closely with engineering, product ...

value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment ...

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 … environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic & Gen AI has to offer to unlock ...

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 … environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic & Gen AI has to offer ...

space that underpins cloud cost transparency, allocation, forecasting and optimisation. This is a hands-on role, working at the intersection of data engineering, financial analysis and cloud economics. You will analyse billing, usage and telemetry data across public cloud and SaaS providers, build models that turn this data into … Develop unit economics and cost driver analytics that link cloud spend to business and technical demand metrics. Build forecasting, budget-to-actual and variance analysis models for cloud consumption, and investigate and explain the drivers of deviations. Model commitment portfolio economics for Reserved Instances, Savings Plans, committed spend agreements ...

statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. Our work spans the full lifecycle of algorithmic trading — from research into price formation and liquidity dynamics, through model development and back … execution algorithms (e.g., VWAP, Participate, adaptive/liquidity‐seeking strategies) for cash equities. Conduct rigorous quantitative research on market microstructure, order‐book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short‐term price prediction, fill‐rate estimation, market ...

microstructure, statistical modelling, and machine learningwith world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. Our work spans the full lifecycle of algorithmic trading — from researchinto price formation and liquidity dynamics, throughmodel development and back-testing, toproduction … execution algorithms (e.g., VWAP, Participate, adaptive/liquidity-seeking strategies) for cash equities. Conduct rigorous quantitative research on market microstructure, order-book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short-term price prediction, fill-rate estimation, market ...

delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk. A&R has a unique viewpoint in the firm’s risk … team-oriented communication skills. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis ...

delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk. A&R has a unique vista point in the firm … team-oriented communication skills. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis ...

amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. http://www.vortexa.com/Ingesting data from multiple external vastly … different sources at hundreds of rich data points per second, moving terabytes of data while processing it in real time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble ...

outputs into actionable insights through impactful data visualisations. Add to our existing web apps to deploy these visualisations and allow stakeholders to explore model & analysis outputs. Other: Executes additional tasks as required to meet the FA’s changingpriorities. Comply with all company policies and procedures to ensure the highest … related field with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled ...

outputs into actionable insights through impactful data visualisations. Add to our existing web apps to deploy these visualisations and allow stakeholders to explore model & analysis outputs. Other: Executes additional tasks as required to meet the FA's changing priorities. Comply with all company policies and procedures to ensure … related field with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled ...

large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java . Experience within data science, quantitative analysis or statistical modelling . Strong analytical and problem-solving abilities. Excellent attention to detail and numerical accuracy. Strong communication skills and the ability … inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine interest in data-driven decision making ...

Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch ...

Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch ...

infrastructure patterns (model serving, feature stores, distributed training) Experience with performance profiling and optimization of numerical or modeling code Prior exposure to financial data, time-series analysis, or quantitative research environments Equal Opportunity Employer The the company Group is an Equal Opportunity employer. Applicants are considered without ...

container orchestration (Kubernetes) Demonstrable experience of writing clean, maintainable code. Experience with AWS or other cloud computing providers Experience with signal processing and time-series analysis What we can offer you In return for everything you bring to the table, we can ensure an exciting, challenging role … open to talking through flexible working options that work for you and us. Annual leave (25 days + bank holidays, pro-rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value ...

research tools, dashboards and analytical infrastructure to improve trading performance and research productivity. Partner with discretionary traders to enhance existing strategies through advanced statistical analysis and quantitative modelling. Work closely with Research to develop quantitative insights and market analytics that enhances the Agricultural product offering. Ensuring compliance with … experience in quantitative research, quantitative trading or systematic strategy development. Strong Python programming skills and experience building research pipelines. Solid understanding of statistics, probability, time series analysis and machine learning techniques relevant to financial markets. Experience designing rigorous back testing and model validation frameworks. Experience working with ...

techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...