1 to 25 of 34 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 ...

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 ...

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 ...

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 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 ...

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. ...

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 ...

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 … more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full time Posting Date: 2026-09-04 #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

techniques, fromlinear models to deep learning, depending on whatbest fits a given problem. You'll spend the bulk of your internshipworking closely with full-time researchers onprojects drawn from their own work. You'llgain a better understanding of the diverse arrayof challenges we consider every day, learning howwe think … about experiment design, datasetgeneration, time series analysis, featureengineering, and model building for financialdatasets. Your day-to-day project work will becomplemented by classes on the broaderfundamentals of markets and trading, lunchseminars, and activities designed to help youunderstand the entire process of creating a newtrading strategy, from initial ...

across liquid and illiquid assets, asset allocation and portfolio optimisation. Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office ...

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 ...

help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach. At Jane ...

about finance. We are interested in applicants who possess skills in several of the following areas: Mathematics: Understanding of partial differential equations, stochastic calculus, time series analysis, statistics and numerical techniques. Technology: Experience building large-scale distributed systems, implementing fundamental algorithms and working in different programming languages. … life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement ...

about finance. We are interested in applicants who possess skills in several of the following areas: Mathematics: Understanding of partial differential equations, stochastic calculus, time series analysis, statistics and numerical techniques. Technology: Experience building large-scale distributed systems, implementing fundamental algorithms and working in different programming languages. ...

Street is seeking quantitative researchers to build models, strategies, and systems for pricing and trading financial instruments. You will apply experiment design, dataset generation, time series analysis, feature engineering, and model building to financial data, while collaborating with colleagues across research, engineering, and trading. You should ...