Lead Analyst, Data Analytics

Job Description

Responsibilities 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