7 Time Series Analysis Jobs

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 »

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 »

Business Forecasting Manager - Data Analysis | Statistics 📌 London 📌 £55,000 to £65,000 + Up to 20% Bonus 📌 10% Pension + 10x Life Assurance + Excellent Benefits 📌 Hybrid Working (3 Days On-site, 2 Remote) The Business Be a part of one of the largest and most monumental brands in … the UK. Operating across 150+ countries, with several thousand redeployment opportunities at any one time, this is a business where you will never sit still, (unless you want too of course)! If you want to be part of the second-largest infrastructure build programme in the entire country, and … dropping any attention to detail or losing sight of the bigger picture. Experience working within a commercial-facing forecasting role Ability to perform statistical analysis using large data sets. Able to draw conclusions and make recommendations on the basis of the analysis Ability to communicate the results of 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 »