5 Time Series Analysis Jobs in London

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 »

as Python, R, or Julia. Proficiency in SQL for data manipulation and extraction. Experience with machine learning techniques such as regression, classification, clustering, and time series analysis. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib. Excellent communication skills and ability to collaborate effectively with more »