Responsibilities
- Conduct performance attribution analysis for investment funds, identifying drivers of portfolio returns and evaluating the effectiveness of investment strategies.
- Develop and maintain quantitative models to measure and monitor portfolio risk exposure, including VaR (Value at Risk), stress testing, and scenario analysis.
- Collaborate with portfolio managers and investment teams to implement risk management strategies and optimize portfolio construction.
- Provide insightful recommendations to senior management based on quantitative analysis results and risk assessments.
- Utilize SQL to extract and manipulate data from large-scale databases, ensuring data integrity and accuracy for analysis purposes.
- Develop automated processes and tools using Python to streamline performance attribution workflows and enhance analytical capabilities.
Education, Training and Experience
- Degree in MBA, M. Com or an equivalent in Finance or similar field
- Minimum of 5 years of experience in quantitative analysis, risk management, and performance attribution within the financial services industry, preferably in asset management or investment banking.
- Proficiency in SQL for data extraction, manipulation, and analysis from relational databases.
- Strong programming skills in Python for quantitative analysis, data visualization, and automation.
- Experience with performance attribution methodologies, such as factor-based attribution, security selection, and sector allocation analysis.
- Solid understanding of financial instruments, derivatives, and portfolio management principles.
- Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
- Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to diverse audiences.