Lead Analytics & Data Science

Role & responsibilities -

• We predict credit risk and other key metrics using machine learning (ML) models this will be one of your key tasks, where you will build these and work with stakeholders to implement them in a timely and accurate manner
• You will also work on other underwriting rules and optimize them
• Once these are implemented, you will help monitor the portfolio and suggest corrections where necessary
• You will evaluate other data sources to improve these models
• We do not just work on underwriting the team provides analytics support across the organization, and you will be involved in this work
• You will run controlled tests based on Design of Experiments principle to add value to the business this involves critical thinking
• You will mentor junior members and help them grow

Preferred candidate profile

• You should have built machine learning models and have good knowledge of statistics
• You should have good understanding of the underlying details about how the machine learning models work
• We expect you to have the ability to work independently on projects end-to-end starting with formulating problem statements, identifying solutions to the problems, breaking the solution into smaller tasks, and do hands on analysis of data to arrive at the solution
• We need someone who has programmed before – in R or Python or SQL etc.  If you can program well in any language, we feel you can pick up another easily. 
• Are you a critical thinker with good problem solving skills?  We do not just build ML models using pre-packaged tools – that is a good skill to have but does not make you a rounded data scientist.  In your job, you may just be asked a high level, poorly defined question – your job will involve understanding context, bounding the problem, forming hypotheses and delving into the data and coming up with a solution.  Have you done that?  Are you confident of doing that?
• Can you understand your problem well enough that you can convey the key message to a lay person through presentations and other means?