Senior Research Analyst, Data Analytics

• 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 the development of a robust risk management framework and analytics across portfolios.
• Analyse time series data to identify and report any trends or errors/exceptions, using quantitative techniques and machine learning models.
• Develop and maintain dynamic dashboards in risk reporting.

Key Skills:

• Experienced in data science, machine learning, and quantitative modelling.
• Proficient in programming languages like Python, SQL, and libraries like Pandas, Numpy, Matplotlib.
• Experienced in Amazon SageMaker, and has a commanding grasp of Excel.
• Experienced in web scraping, using libraries like Selenium, Requests.
• Basic knowledge of BI tools like Tableau/Sigma Computing.
• Experience with risk analytic platforms (e.g., FactSet, Risk Metrics, Bloomberg).