- Provide SME support on modeling/quantitative projects, ensure quality on codes/outputs produced by team
- Writing codes in R to fetch/extract data, load data, data cleaning, outlier/seasonality handling, automation of charts etc.
- Building different Econometric/statistical models such as Regression models, Vector Autoregressive models, Forecasting models, Logistic regression models etc. to test investment approaches
- Referring to academic papers and converting them to models using R
- Leverage various packages in R and using programming, work on automating various chart-books, world maps, implementing econometric models etc., extract macroeconomic and financial data directly from various sources
- Preparing reports to document the techniques, results and interpretation of these results and graphs, from the quantitative analysis conducted
- M.Sc. (Economics, Econometrics) / B.Tech / M.Tech / MS in Finance
- Coursework in Econometrics would be preferred
- CFA (pursuing/completed) would be added advantage
- Strong knowledge and experience of working with econometric, quantitative and statistical techniques
- Experience of programming/coding and econometric modeling in at least one of the programming tools/languages - R, Python, MATLAB etc. would be required
- Experience of coding in R would be added advantage
- Strong macroeconomic and broad finance knowledge across Equities, bonds, credit, FX asset classes ; Experience working in asset management domain will be an advantage
- Working experience on financial databases such as Datastream, Bloomberg etc. would be preferred
- Exposure to advanced statistical/econometric modeling would be added advantage
- Exposure to application of quantitative techniques in portfolio investment would be desirable such as forecasting, portfolio strategies, asset allocation etc.
- Strong verbal and written communication skills and good team player
- Experience working with global clients will be an advantage
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