9 Time Series Analysis Jobs in England

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 »

within finance? My client is seeking a talented Junior Data Scientist to become an integral part of their experienced team. This is a full-time position offering the opportunity to engage in exciting projects and collaborate with seasoned professionals in a hybrid work setup. Responsibilities : Utilise Python, NLP, LLM … s, and Time Series models under the guidance of senior team members to derive insights from financial data. Assist in the development of machine learning models to predict financial trends and aid in decision-making processes. Work closely with cross-functional teams to understand business requirements and contribute … data quality assessments. Requirements : Bachelor's degree in a relevant field. Basic understanding of Python programming and machine learning concepts. Familiarity with NLP and Time Series analysis is a plus. Strong analytical and problem-solving skills. Good communication abilities to effectively communicate technical concepts to non-technical more »

years' commercial experience as a Data Scientist Strong Python proficiency as well as its related libraries Strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies Experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP). Experience with 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 »

analyse complex data sets in areas like power grids, traffic, demographics, and EV adoption. You will work with a small team to conduct data analysis, optimise algorithms, publish white papers and mentor team members. Experience : Strong experience with cloud data and ML services. Proficiency in deep-learning frameworks (TensorFlow … etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-series analysis etc. Master's or PhD in relevant fields. Working at an early stage tech startup is a bonus Experience working more »

financial infrastructure. This offers the chance to work on greenfield projects, utilising state-of-the-art technologies. Your responsibilities will encompass employing statistical methods, time series analysis, and other quantitative techniques to gain valuable insights into market behaviour. There are x3 hires on offer with total compensation more »

fundamentals, and geopolitical factors, to enhance model performance and profitability. Optimize models for execution efficiency, liquidity management, and risk control. Conduct backtesting and simulation analysis to assess model performance under various market conditions and refine model parameters. Requirements: Advanced degree (Ph.D. or Master’s) in quantitative finance, mathematics, statistics … in in either Python or C++ Solid understanding of financial markets, trading strategies, and risk management principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving 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 »