1 to 12 of 12 Time Series Analysis Jobs in the UK

a fast-paced, agile environment. Develop a new React web application (including but not limited to customer data reporting, dashboards and visualization of timeseries analysis) Develop, adopt and promote software engineering best practice and processes internally within the team and business RESPONSIBILITIES: Specific Responsibilities of the Role Develop software more »

skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or more »

year-old retail chain? Because we’re on a journey. Changing the way we operate. Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our colleagues and our customers even more incredible experiences.There are … meet production standards and are available across the businessSeeking ways to automate activity within the Campaign and Loyalty analytics teams to allow teams more time on value-add activity.Developing new and improve existing models of customer behaviour, be those churn models or value assessments of customer bases or more … how code should be written - and an ability to install this in the wider team.Excellent analytical skills and statistical understanding including predictive modelling, clustering, time series analysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience of managing stakeholders at various more »

a fast-paced, agile environment. Develop a new React web application (including but not limited to customer data reporting, dashboards and visualization of timeseries analysis) Develop, adopt and promote software engineering best practice and processes internally within the team and business RESPONSIBILITIES: Specific Responsibilities of the Role Develop software more »

Proficiency in Docker and experience with container management and deployment •Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory •You want to build something that is both technologically challenging and solves a real customer more »

serious commercial experience working in a data analytics role. What technical skills are required? wrangling mastery - having the data shaping skills needed to deliver analysis across relational and non-relational data structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial … problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL, HiveQL more »

key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of … validation to review, in accordance with Firm's Model Risk Management policies and framework. Qualifications Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution. Solid … products. Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well more »

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. The researcher will be responsible for developing models, conducting analysis, and sharing insights … grow the business. Responsibilities: Improving profitability and scalability of the equities business by working directly with PMs to drive performance and scale; supporting tailored analysis with quantitative research and a deep understanding of the investment process. Research: Develop models for analysis of investment process, portfolio construction, risk and … return attribution for strategies Understand team investment processes and how to capture and analyze relevant data Develop analysis supported by data for individual teams and/or using data across the business to provide analysis on best practices, insights, and areas to improve risk-adjusted returns Propose and more »

Science or Machine Learning based role.Expertise in machine learning, statistical modeling, and sophisticated analytics techniques, with experience in areas such as regression, classification, clustering, time series analysis.Relevant work experience with natural language processing projects and hands-on experience with techniques like POS tagging, NER, word2vec, document classification, sentiment … analysis etc.Proficiency in Python & SQL.Strong business acumen and the ability to translate business objectives into data science initiatives and actionable insights.Effective communication and stakeholder management skills, with the ability to convey technical concepts to both technical and non-technical audiences.Bachelors degree in a quantitative field like engineering, mathematics, statistics … completion of this process – or need any reasonable adjustments to be made – then please contact the Recruitment Team on recruitment.support.uk@aexp.comJob Field: MISSchedule: Full-time more »

data. Ability to design, write, and iterate code to work with data. You understand documentation, testing and version control. Understanding of how to design analysis to support a decision. This could include statistical techniques for modelling, hypothesis testing or time series analysis. Good communication and interpersonal skills … with the ability to communicate complex analysis to non-specialists and contribute effectively to stakeholders. Ability to deliver outputs to tight deadlines and overcome challenges to ensure quality business outcomes. Able to prioritise and manage your own work and others in line with organisational objectives. The ability to explain more »

Responsibilities : Develop new and improve existing models of customer behaviour under the direction of the data manager within the team. Be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models. Contribute to develop new and improve existing … Python or R with a strong ability to use SQL. You've excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application. You've had some experience using cloud based analytical platforms such … as Databricks, Snowflake, Google BigQuery etc. Proven experience of working with customer data. You've a strong commitment to accuracy and rigour in the analysis produced. You are empathetic to the importance of Data Governance and good Data Quality. You have a strong attention detail and are willing to more »

and models and creating new ones to continually improve. Lead development of new and improve existing models of customer behaviour, be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models. Lead the deployment models into production so … ability to communicate and install this within the wider team. You've excellent analytical skills and statistical understanding, including experience in: predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google … experience of leading a data science team Proven experience of working with customer data You've a strong commitment to accuracy and rigour in analysis that is produced. You care about Quality Assurance, and lead coding documentation and version control best practices using GitHub. You are empathetic to the more »