Crisil - Senior Research Analyst - Data Analytics

Responsibilities:

- 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 robust risk management framework and analytics across portfolios

- Analyse time series data to identify and report any trends or errors/exceptions, using quantitative techniques, machine learning models

- Develop and maintain dynamic dashboards in risk reporting

Key Skills:

- Experienced in data science, machine learning, quantitative modelling

- Proficient in programming languages like Python, SQL, libraries like Pandas, Numpy, Matplotlib

- Experienced in Amazon SageMaker. Has commanding grasp on Excel

- Experienced in web scrapping, using libraries like Selenium, Request

- Basic knowledge of BI tools like Tableau/ Sigma Computing

- Has experience of risk analytic platforms (e.g., FactSet; Risk Metrics; Bloomberg)

- Quantitative background such as Mathematics, Mathematical Finance, Econometrics

- Understanding of different alternative asset classes and instruments, with strong knowledge of fixed income securities and their characteristics in particular

- Preferred qualification - CFA/ FRM/ CQF/ PG degree in finance

- Ability to work independently as well as thrive in a team-oriented environment

- Comfortable taking initiative and being resourceful

- Experience in an investment risk related role preferred