Data Analyst, Risk Analytics & Modelling-Chennai (2+ Years of Experience)

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Data Analyst, Risk Analytics & Modelling-Chennai (2+ Years of Experience)

A Client of Analytics Vidhya

Chennai INR 5 - 7 LPA Experience : 2 YRS. Openings: 3


We are looking to hire a data analyst to work with its risk analytics team based in Chennai. The team focusses on developing data driven risk analytics models to gain insights into borrower behaviour across multiple asset classes using advanced statistical learning methods on more than 6 million underlying loan contracts and estimate loss on its structured finance credit and corporate portfolio. 

Key responsibilities

•Manage data sources, database and movement of data and data organization across different systems

•Design and implement data validation processes for data

•Design and supervise data and information security processes

•Document the data management and information system processes

•Assist the Risk Analytics team in designing and executing the data analytics project

•Prepare standardized reports using the data based on the team requirements

•Assist the Risk Analytics team in designing the business intelligence tools

•Manage large loan level and borrower level data used for risk and learning models

•Measure the risk and performance indicators for debt and structured finance products using existing and new models

•Contribute towards other risk management work done by the risk management function

•Travel not more than 20% of the time to meet IFMR Capital partners

Essential Skills

•At least two years of experience in database or project management

•Should have hands on experience of designing database schemas

•Proficiency in programming: SQL and at least one of R/Python/VBA

•Experience in handling large structured and unstructured datasets

•Background in statistics and probability is a plus

•PGDM/Masters degree in Information Systems/Maths/Statistics//Finance/Engineering /other quantitative disciplines

•Actuaries/FRM/CFA/CQF/PRM certification would be a plus

•Knowledge and experience in structured finance products (securitization structures) would be a plus

•Excellent writing, oral communication and presentation skills

Min. Qualification:


Skills Required:

data analysis, database, data management, modeling, python, r, risk, sql, statistics

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