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 a robust risk management framework and analytics across portfolios.Analyze time series data to identify and report any trends or errors / exceptions, using quantitative techniques and 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, and quantitative modeling.
- Proficient in programming languages like Python, SQL, and libraries like Pandas, Numpy, Matplotlib.
- Experienced in AWS / Amazon SageMaker and frameworks like TensorFlow.
- Has a commanding grasp on Excel and basic knowledge of BI tools like Tableau / Sigma Computing.
- Has experience with risk analytic platforms (e.g., FactSet, Risk Metrics, Bloomberg).
- Quantitative background such as Mathematics, Mathematical Finance, Econometrics, Data Science, and Statistics.
- Understanding of different alternative asset classes and instruments, with a strong knowledge of fixed income securities and their characteristics.
- Preferred qualification : CFA, FRM, CQF, or a PG degree in finance.
- Ability to work independently and thrive in a team-oriented environment.
- Comfortable taking initiative and being resourceful.
- Rich experience working in an investment risk, data science-related role preferred.
Skills Required
quantitative modeling, Machine Learning, Data Science, Python, Sql