1 to 25 of 36 Time Series Analysis Jobs in England

closely with the traders to develop pricing, risk, and PnL services, FIX connectivity (MarketAxess/Tradeweb/Bloomberg), RFQ automation, model pipelines, and real‐time analytics. The ideal candidate is proficient in Python, Java, distributed systems, quantitative/statistical methods, CI/CD, observability, and real‐time … methodologies CANDIDATE REQUIREMENTS 3+ years of building electronic trading systems, preferably credit Strong Java and Python programming skills Quantitative and statistical skills to do time series analysis, TCA and generate trading signals Business Area EMEA Fixed Income Credit department comprises Credit, EM, and Structured Products traders based ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. … applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments. Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints. Hands-on ownership of the full model lifecycle: data ...

responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. … data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments. + Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints. + Hands-on ownership of the full model lifecycle ...

risk used by portfolio managers• Support portfolio managers and analysts in building out bespoke tools using in-house analytics• Design and implement macro data series for use in analysis and back-testing• Learn about pricing, risk and calibration for various macro productsQUALIFICATIONS & REQUIREMENTS• Masters’ Degree or higher … would like to move to C++20. Coupled with the ability to produce well-engineered code.• Programming experience in Python in the context of data analysis, with the ability to test ideas and develop infrastructure for further research• Understanding and exposure to interest rates swaps, fixed income futures, interest rate ...

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 ...

drug development.Excellent leadership and management skills, with 5+ years of people management experience in the data science space.Experience with Quality Control (QC) and data analysis for common assays, such as bulk RNA-seq, scRNA-seq and/or chromatin-based assays (ChIP-seq, ATAC-seq, Hi-C).Strong expertise … 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.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate ...

securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time‐series analysis, asset‐pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications ...

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 ...

solving complex problemsExcellent communication skills — able to clearly articulate complex ideasPreferred Experience:Exposure to financial markets, portfolio construction, or trading strategy developmentFamiliarity with time-series analysis, NLP, or pattern recognition techniquesExperience with additional tools such as R, MATLAB, or ML frameworksAdditional Achievements: Participation or accolades in elite … recognizing exceptional academic or research performanceReference: AMC/ZBR/MLQRLDN#zabrApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.*Mandatory field.Your name*Your surname*Your email address*I confirm I currently ...

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 ...

Design, lead and deliver quantitative research projects addressing strategic and operational business challenges. Develop robust research methodologies, including survey design, sampling strategies and statistical analysis plans. Analyse complex datasets to identify trends, risks, opportunities and emerging issues. Conduct descriptive, statistical and time series analysis. Extract, manipulate … research and analytical projects, applying independent judgement to complex business questions. Advanced expertise in quantitative research methods, including cross-sectional surveys, statistical testing and time series analysis. Strong experience extracting, transforming and analysing data from databases and structured repositories. Demonstrable ability to assess data quality, reliability and suitability ...

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 strategies … data into 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 AI tools ...

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 ...

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 … technology decisions and strategy related to a product Preferred Qualifications Experience working directly with Engineers on product enhancements Experience in project management methodologies, business analysis, or process improvement Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make ...

degree in a quantitative discipline with 8 years of relevant work experience.Excellent command of mathematics, modeling and numerical techniques. Good knowledge of statistics, time series analysis, econometric modeling and probability theory. Strong programming skills and experience with a popular programming language (Java, C++, Python etc.). Hands ...

Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: London (The Westworks); Home WorkerType: Full time ...

active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior … inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced ...