Risk Analyst And Data Scientist Job in Stellapps Technologies Private Limited

Risk Analyst And Data Scientist

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Job Summary

Job Description

Collaborate with Product, Operations, credit, and Risk teams to build and deploy risk management frameworks, test them against sensitivities, and upgrade them as and when required.
Work with python libraries such as Pandas, Numpy, Seaborn and MatPlot, etc.
Build Decision Trees, Random Forest, Neural Networks, Support Vector Machines, and Gradient Boosting models

Roles & Responsibilities

Roles and Responsibilities (Mandatory)
Build models to predict risk and implement data-driven solutions to control risk
Collaborate with Product, Operations, credit, and Risk teams to build and deploy risk management frameworks, test them against sensitivities, and upgrade them as and when required
Credit Risk Analytics: Create assessment reports like Static Pool Analysis , Vintage Curve analysis , Roll rate analysis etc. to ascertain health of portfolio on a regular basis and to make suggestions for improved underwriting strategies on basis os susch reports
Create Reports , Summaries , presentations and process documents if required
Develop systems and processes for gathering and storing data for future analytic projects
Work with rating agencies to build and train credit decisioning models and score
Work with existing SAS based models and develop new models when required
Build models with machine learning for credit risk analysis, customer churn detection and recommendation engine, etc.
Work with reporting tools such as Tableau, R
Work with python libraries such as Pandas, Numpy, Seaborn and MatPlot, etc.
Build Decision Trees, Random Forest, Neural Networks, Support Vector Machines, and Gradient Boosting models

Eligibility

BE/B.tech and MBA

Company Introduction

Stellapps is the first of its kind startup in India working towards the digitization of the dairy supply chain.

Started in the year 2011, we are an IIT Madras incubated, Bangalore based, Internet of Things (IoT) startup with a primary focus on data acquisition and machine learning.
Digitization of the Agri-Dairy supply chain in the emerging markets is where we help unlock unprecedented value on a very large scale.

Experience Required :

3 to 5 Years

Vacancy :

2 - 4 Hires

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