1 to 25 of 30 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 ...

lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science. Now it's time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts … algorithms Deep understanding of Statistical/Probabilistic programming and Linear Algebra Be an expert in (Python, R, SQL) programming for Data Science and Time Series analysis Have in depth understanding of statistical modelling/ML techniques for time series forecasting (ARIMA, ETS, Prophet, Time ...

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 ...

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 … 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 ...

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 ...

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 … 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 … 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 ...

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 … 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 ...

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 … 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 ...

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 ...

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 CHALLENGE Learn how predictive models look like in a betting context and build models on your … 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. ...

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 ...

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 "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this ...

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 ...

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 ...

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 ...

team adopt AI. This means finding real-world applications for AI tools to make our systems run faster, improve the quality of our data analysis and uncover deeper analytical insights. What You'll DoProduce original analyses to identify and explore opportunities to optimize our search engine marketing (SEM) bidding … compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis and time series analysis. Experience using ...

Reference #339175BRCityLondonJob TypeFull Time Key responsibilities Participate in the design, development, and implementation of quantitative models and analytics supporting the QIS business Play a key role in designing and implementing the next generation of AI-powered systems, partnering closely with Trading, Structuring and Sales from idea generation through production … office quant roles within Global Markets Strong proficiency in Python for developing quantitative models, analytics, and production ready applications Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques Experience working with large scale data and analytics pipelines. Strong analytical, problem solving, and architectural design ...

opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems ...

detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating … around technology decisions and strategy related to a productPreferred qualification - Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvementAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...