Data Analysis Internship

Location(s): Delhi NCR
Category: IT & Computers
Applications Start Date: 15 Sept. 2017
Degrees: B.E. / B.Tech
Stipend: 10K - 15K
Duration: None day
Last Date To Apply: 30 Sept. 2017
Skills: Python SQL
Mode of Interview: Not selected
Available Slots: 1

Intern Responsibilities

At RedCarpet.CASH (Delhi), Interns are expected to be professionally well-versed with basic ethics, which includes arriving on time (as specified by the company), notifying the team leader of any deviations from the established schedule, and dressing to the standards of the organization and the work being performed. Respect the organization’s reporting structure and follow the policies and procedures of the organization.


During the internship tenure, intern will be be working on following verticals (ingroup or individually)


1. Work on ETL using R or pandas

2. Find new vectors of data that can be used in our financial models.

3. Work in core statistics, probability distribution, AUM (assets under management), AUC (area under curve), PD distributions.

4. Will work in the same way as traders work at front desks - take prototype financial models in excel and build production models in R or pandas or SAS.

5. Will work with in-house database models in Postgresql

 

Perks

Certificate, Letter of recommendation, Pre placement offer (PPO), Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.

About Company

WE ARE THE CRAZY ONES WHO BELIEVE IN YOU !!
By building better credit & lending infrastructure, we want to enable more people to access credit. Our job starts BEFORE you start using a payment gateway or a wallet - we believe the basic problem in the trillion dollar Indian economy is access to liquidity. Our aim is to expand the credit economy — simply replacing the legacy credit providers/banks would probably be a great business success, but it's not all that interesting as a goal.
Our company is built on a foundation of believing in people, believing in their integrity and building technology around that belief.

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