Support investment portfolio reporting and quantitative analyses for a leading alternative asset manager. Develop and improve workflow efficiency through automation
Assist with development, calibration, prototyping and documentation of risk models
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
Help foster a culture of risk awareness in partnership with other stakeholders
Keep up to date with topical issues in risk management
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/Amazon SageMaker and framework like Tensorflow
Has commanding grasp on Excel. Basic knowledge of BI tools like Tableau/ Sigma Computing
Has experience of risk analytic platforms (e.g., FactSet; Risk Metrics; Bloomberg)
Quantitative background such as Mathematics, Mathematical Finance, Econometrics, Data Science, Statistics
Understanding of different alternative asset classes and instruments, with strong knowledge of fixed income securities and their characteristics in particular
Preferred qualification - CFA/ FRM/ CQF/ PG degree in finance
Ability to work independently as well as thrive in a team-oriented environment
Comfortable taking initiative and being resourceful
Rixh experience of working in an investment risk, data science related role preferred
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