Job Responsibilities:
Develop quantitative models that can be used to project sector revenue outlook using macroeconomic parameters
Extensively use statistical techniques including time series analysis, multivariate regression, test of significance etc. in building the models
Demonstrate strong understanding of key dynamics that explain revenue performance of broad industry categories
Keep abreast of latest developments across sectors including impact of regulatory changes, impact of technological changes, structural changes in demand / supply environment etc.
Ability to independently verify the model outcomes with latest trends in specific industries
Required Skills:
Strong background in modelling with an experience in handling large amounts of data
Hands on experience of using R or Python with focus on statistical packages
Background in fundamental research – either credit / equity
Some understanding of macroeconomics – key parameters, application and interpretation
Good attention to accuracy and detail
Stakeholder communication
Personal drive (proactive), flexible, creative (thinks out of the box), result driven, responsible, curious, team player and fast learner
Hands on attitude, willing/capable to understand the big picture
Ability to succeed in a culture where change and speed are part of daily work
