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 »
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, timeseriesanalysis, 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, timeseriesanalysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience of managing stakeholders at various more »
