7 Time Series Analysis Jobs

functional teams including Operations, Logistics, and IT to understand business requirements and develop innovative solutions. Utilize your expertise in statistical modeling, machine learning, and time series analysis to extract insights from large-scale datasets and drive data-driven decision-making. Continuously monitor and refine forecasting models to … Strong proficiency in programming languages such as Python or R, with experience in data manipulation and statistical analysis. Solid understanding of forecasting methodologies including time series analysis, regression, and machine learning algorithms. Previous experience working in supply chain or logistics analytics is highly desirable. Excellent communication skills 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 »

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 »

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 »

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 »

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 »