JOB SUMMARY:

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.

Skills: Derivatives, Sql, Python, Financial Instruments

Experience: 5.00-7.00 Years