A key member of the investment team responsible for investment strategy development at IDFC Alternative Investment division. You will contribute to strategy research with a focus on building models towards portfolio construction.
- Develop quantitative models using machine learning methodology on conventional and unconventional time series data set.
- Responsible for maintaining /rectification of existing quantitative models
- Contribute to result oriented quantitative research towards portfolio construction and model portfolio development.
- Development of data driven and quantitative models, frameworks across various processes.
- Develop implementable signal-based strategies using the models that can contribute towards superior return generation/portfolio construction. Contribute towards qualitative and investment research.
- Able to extract and build models using unconventional data sets viz. twitter feeds, google trend, satellite imagery, technical indicators along with commonly used variables
- Quantitative finance including advanced econometrics and statistical modelling
- Build models using unconventional data sets viz. twitter feeds, google trend, satellite imagery, technical indicators along with commonly used variables
Educational Qualifications :
- BE/B Tech from a top tier college and/or Masters in Financial Engineering / Econometrics / Quantitative Finance and MBA finance or CFA.
Domain Knowledge :
- 2-3 years- experience in Python (Numpy, Pandas), R.
- Programming and quantitative modelling.
IT Skills :
- Knowledge of Refinitiv/Bloomberg terminal desirable.
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