1 to 25 of 38 Time Series Analysis Jobs in England

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 ...

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 ...

/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug … business models, providing insight into structured and unstructured data.Apply R-based analytical and statistical techniques to solve business problemsApplying data cleaning, wrangling, and analysis techniques using tools like AI, R, Python and Pandas.Developing and managing data pipelines using tools like AI, R, Python, Bash, and SQL.Essential Requirements: Master ...

index arbitrage, and merger arbitrage strategies. The team is involved in research on topics including equity portfolio analytics, factor/factor model research, and analysis of best practices in the portfolio construction/investment process.The Senior Quantitative Researcher, PM Engagement, is responsible for working with equity PMs on their … their risk taking and improve their profitability and scalability. The researcher will be expected to contribute to the development of quantitative models for the analysis of portfolio risk & performance for strategies, including alternative equity strategies. Leveraging his or her excellent communications skills and deep understanding how investment process, portfolio ...

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 ...

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 ...

Description SummaryThe mission of Novartis is to reimagine medicine, and our team advances that mission by applying advanced image analysis, computer vision, and AI methods to early drug discovery. We partner closely with experimental scientists, disease-area teams, data scientists, bioinformatics experts, and platform engineers to extract meaningful biological … organoids, tissue models).To grow this capability, we are seeking a seasoned, innovative, and collaborative data scientist with deep expertise in AI-enabled image analysis to join the Data Science team in Discovery Sciences (DSc) at Novartis Biomedical Research, Cambridge, MA. This role combines hands-on delivery of robust ...

development best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras.Strong data visualization and exploratory data analysis skills.Ability to translate complex analytical concepts into clear, actionable insights.Strong collaboration and communication skills across multidisciplinary teams.Fluency in English (oral and written).This … disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO ...

best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras. Strong data visualization and exploratory data analysis skills. Ability to translate complex analytical concepts into clear, actionable insights. Strong collaboration and communication skills across multidisciplinary teams. Fluency in English (oral … disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click ...

team. As a Lead Data Analyst, you’ll drive analytics within a dedicated customer operations model where we improve how we resolve complex and time‐sensitive customer issues—speed, reliability, quality, and end‐to‐end outcomes—and scale what works across our wider Operations teamsMost importantly, you’ll collaborate … stakes servicing interventions at scale.Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning.Causal Inference and Quasi-Experimental Analysis. Develop robust approaches to cause ...

team. As a Lead Data Analyst, you'll drive analytics within a dedicated customer operations model where we improve how we resolve complex and time‐sensitive customer issues—speed, reliability, quality, and end‐to‐end outcomes—and scale what works across our wider Operations teamsMost importantly, you'll collaborate … servicing interventions at scale. Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. Causal Inference and Quasi-Experimental Analysis. Develop robust approaches to cause ...

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-testing … do.ResponsibilitiesEnhance 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-impact ...

imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances … Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

Principal Scientist or Associate DirectorPosition Location: Cambridge, MA HybridKey responsibilities:Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data … discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.Contribute hands-on technical work in scientific software development, data engineering, workflow automation, reproducible analysis, and scalable analytical pipelines.Partner cross-functionally with wet-lab scientists, translational researchers, platform teams, and senior stakeholders to shape experimental design and accelerate decision ...

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 venture 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 ...

Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

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... etc ... Delivering regular … 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 ...

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 ...

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 ...

models in Java and testing them. Publishing and maintaining these Java libraries is also one of our responsibilities. Furthermore, we are providing various data analysis or generally math related tasks on demand.THE CHALLENGELearn how predictive models look like in a betting context and build models on your own.Support … following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field.Experienced in predictive modelling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.Very strong skills in R or python.Advanced coding ...

Proven experience delivering analytical solutions into live production environments. Strong understanding of statistical modelling, machine learning techniques and model evaluation methodologies. Experience working with time series analysis, forecasting, classification, regression and clustering techniques. Strong SQL and data manipulation skills. Experience with software engineering best practices, including testing ...

evaluation science, reliability engineering, validation, adversarial testing, and performance assessment. Key areas of focus include model and agent evaluation, benchmarking, failure-mode analysis, drift detection, digital twin validation, AI red teaming, observability, traceability, and technical evidence generation supporting regulated and business-critical AI systems.This is not a Governance, Product … across AI systems.Build a common evidence framework for assessing AI capabilities, limitations, and fitness-for-use.AI Testing & ValidationEstablish approaches for hallucination testing, failure-mode analysis, robustness testing, and behavioral validation.Define validation methodologies for agentic systems, digital twins, simulation environments, and human-in-the-loop workflows.Develop production readiness criteria ...

Trading or Finance or High Demand environment • Complex problem solving • Good mix of engineering and data science skills in the domain of time series analysis • Ability to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation … testingThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies and traders, those who are motivated by the sharp end of technology ...

patterns or reference architectures.· Number of reusable AI capabilities adopted across multiple domains.· Reduction in duplicate technical solutions across the portfolio.· Reduction in time required to build new AI systems through capability reuse.· Number of project learnings converted into reusable capability assets.· Technical satisfaction and adoption of reusable capabilities … Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

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 ...