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Data Analyst

3.00 to 5.00 Years   Delhi   12 Feb, 2024
Unnati
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking
Functional AreaOthers
EmploymentTypeFull-time

Job Description

    Job DescriptionAs a Data Analyst, you will be executing deep & complex quantitative analyses that translate data into actionable insights.What you will do:Collaborating and coordinating across functions to dissect business, product, growth, acquisition, retention, and operational metrics Creating a deep-level understanding of the various data sources (Traditional as well as alternative) and optimum use of the same in underwriting Creating a Data Science team to effectively provide inputs on the key model variables and optimizing the cut-off for various risk models Helping to develop credit strategies/monitoring framework across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Conducting Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles that are delinquent or working wellWhat you need to have:Bachelors or Masters degree in, Statistics, Economics, Computer Science, or other Engineering disciplines 2-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R is a must Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, probability distributions Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc A good understanding of various unsecured credit products Ability to articulate and communicate the results of complex analyses clearly and effectively Exposure to the Fintech industry, preferably digital lending background Exposure to visualization techniques & tools

Keyskills :
pythonrisk managementdata analysis

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