10 of 10 Time Series Analysis Jobs in the UK excluding London

decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. 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. Good … 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 ❯

work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It's an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your … with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock … and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making. We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 5 consecutive years, to see what it More ❯

Job Title: Quantitative Analyst, Power & Gas Contract Type: Permanent Time Type: Full time Job Description: The Quantitative Analyst is part of the Power and Gas team, delivering advanced analytics for the power and gas trading desk within Gunvor, ideally based in London. They are responsible for providing high …/Natural Gas spectrum. Main Responsibilities: In-depth expertise in evaluating and assigning value to physical assets Assist the traders with ad hoc market analysis/insights. Maintain and improve existing pricing models Identify the right set of models and develops the right code/package to execute them. … respective key stakeholders. Support Origination activity and investment decisions. Communicating technical jargon in plain English to colleagues within the team. Prepare various reports and analysis for publishing internally. Maintain and improve teams IT capabilities. Develop systematic trading strategies for the Power/Natural Gas Market. Profile/Key Skills More ❯

Grade UE07: £40,497 to £48,149 per annum CSE/School of Informatics Full time: 35 hours per week Fixed term: 24 months 2 vacancies The School of Informatics, University of Edinburgh invites applications for two Biomedical Data Scientists to support our newly established Biomedical Data Intelligence Hub. … techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models. … structured technical reports. Ability to assimilate new ideas and turn them into practical, applied techniques, and willingness to continue to learn new techniques. Proven time management skills across competing tasks requiring rapid context switching. Please include the following documents in your application: CV Cover letter As a valued member More ❯

Monitoring team, you will: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between … as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant … and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both More ❯

to login before you can apply for a job. View more categories View less categories Sector Aviation Role Analyst Contract Type Permanent Hours Full Time Job Description Data Analyst - Submarines Derby Fulltime (37 hours)/5 days per week (opportunity for condensed hours) with limited home working options Why … assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all … An ability to apply logical, analytical, and innovative thinking on a range of technical problems. A proven ability to apply pre-processing techniques, statistical analysis, linear regression, and time-series analysis to industrial data. Preferable experience in Python Ability to visualise data appropriately and in a More ❯

to drive meaningful results and insights from complex datasets. This role offers a chance to be part of an ambitious, interdisciplinary team, applying data analysis to real-world biological challenges with the potential to impact science, health, and innovation. Visa sponsorship is available, making this a fantastic opportunity for … career in data science within a top-tier academic institution. Position: Data Scientist Salary: £40,497 to £48,149 per annum Job Type: Full Time Location: Edinburgh About the Role Grade UE07: £40,497 to £48,149 per annum CSE/School of Informatics Full time: 35 hours … techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. More ❯

performance variance at macro & micro level Liaise with key business areas to ensure that inputs into forecasting are up to date and understood Perform analysis of cost & service drivers to define transformation & business improvement opportunity. Provide analytical support and insights into day-to-day Trading issues and opportunities. Focus … Influence across all key Ops performance indicators, primarily concerned with productivity What you will need The ideal candidate will have strong experience in data analysis and be a natural problem-solver who loves diving deep into data to uncover trends, patterns & opportunities. Strong communication and collaboration skills are essential. … ability to provide insight and present in a way that gives clarity, confidence and certainty to the audience. Experience in different approaches to data analysis & statistical modelling. Excellent statistical approach to problem solving. Experience using machine learning and advanced analytics approaches to solve business problems Appreciation of building machine More ❯

Key Responsibilities: Develop and implement quantitative models for asset-liability forecasting and interest rate risk management. Utilise advanced econometric and statistical techniques such as time series analysis and regression modelling. Translate complex technical concepts for both technical and non-technical stakeholders. Write robust, production-ready Python code More ❯

Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯