Lead 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 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.