Support investment portfolio reporting and quantitative analyses for a leading alternative asset manager
Develop and improve workflow efficiency through automation
Assist with preparation of materials for client and senior management
Assist with development of robust risk management framework and analytics across portfolios
Analyse time series data to identify and report any trends or errors/exceptions, using quantitative techniques, machine learning models, in the form of dynamic dashboards
Key Skills
Experienced in data science, machine learning, quantitative modelling
Proficient in programming languages like Python, SQL and libraries like Pandas, Numpy, Matplotlib
Experienced in AWS infrastructure, Snowflake and framework like Tensorflow
Experienced in web scrapping, using libraries like Selenium, Request
Basic knowledge of BI tools like Tableau/ Sigma Computing
Has experience of risk analytics platforms (e.g., FactSet; Risk Metrics; Bloomberg)
Quantitative background such as Mathematics, Mathematical Finance, Econometrics, Data Science, Statistics
Basic knowledge of fixed income securities and their characteristics preferred
Ability to work independently as well as thrive in a team-oriented environment
Comfortable taking initiative and being resourceful
Experience in working for a technology heavy/ data science role preferred
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