Data Analyst

at PayU

Data Analyst

PayU

Company

Home

Data Analyst

at PayU

Posted by Deeksha Srivastava

1 - 3 yrs

₹7L - ₹15L / yr

gurgaon, Delhi, Gurugram, Noida

Skills

Python

R Programming

Data Analytics

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

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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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

Connect with the team

Md Amim

Rohit Asnani

Sayali Prabhudesai

Deeksha Srivastava

Shane Mathews

Vishakha Sonde

Company social profiles

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