1 to 5 of 5 Time Series Analysis Jobs

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 »

Proficiency in Docker and experience with container management and deployment •Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory •You want to build something that is both technologically challenging and solves a real customer more »

serious commercial experience working in a data analytics role. What technical skills are required? wrangling mastery - having the data shaping skills needed to deliver analysis across relational and non-relational data structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial … problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL, HiveQL 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 »

data. Ability to design, write, and iterate code to work with data. You understand documentation, testing and version control. Understanding of how to design analysis to support a decision. This could include statistical techniques for modelling, hypothesis testing or time series analysis. Good communication and interpersonal skills … with the ability to communicate complex analysis to non-specialists and contribute effectively to stakeholders. Ability to deliver outputs to tight deadlines and overcome challenges to ensure quality business outcomes. Able to prioritise and manage your own work and others in line with organisational objectives. The ability to explain more »