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Data Analyst
at PayU
Data Analyst
PayU's logo

Data Analyst

Deeksha Srivastava's profile picture
Posted by Deeksha Srivastava
1 - 3 yrs
₹7L - ₹15L / yr
gurgaon, Delhi, Gurugram, Noida
Skills
skill iconPython
skill iconR Programming
skill iconData Analytics
R

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

  • Dive into the data and identify patterns
  • Development of end-to-end Credit models and credit policy for our existing credit products
  • Leverage alternate data to develop best-in-class underwriting models
  • Working on Big Data to develop risk analytical solutions
  • Development of Fraud models and fraud rule engine
  • Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
  • Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

  • Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
  • Fraud model development, deployment and rules for EMEA region

 

Basic Requirements:

  • 1-3 years of work experience as a Data scientist (in Credit domain)
  • 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
  • Strong problem solving and understand and execute complex analysis
  • Experience in at least one of the languages - R/Python/SAS and SQL
  • Experience in in Credit industry (Fintech/bank)
  • Familiarity with the best practices of Data Science

 

Add-on Skills : 

  • Experience in working with big data
  • Solid coding practices
  • Passion for building new tools/algorithms
  • Experience in developing Machine Learning models
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Full Stack Developer - Averlon
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About PayU

Founded :
2002
Type :
Product
Size :
500-1000
Stage :
Profitable

About

PayU is a fintech that provides financial solutions for local and cross border merchants in emerging markets, POS credit and alternative payment methods
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Md Amim
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Rohit Asnani
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Sayali Prabhudesai
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Deeksha Srivastava
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Shane Mathews
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Vishakha Sonde

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