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Job Location | Gurugram |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | Sales / BD |
EmploymentType | Full-time |
Data Science, Analytics and Data EngineeringResponsibilities:- Leverage advanced Machine Learning and Big Data Analytics to create credit risk score and assess millions of users using more than 5,000 data points.- Build ML based credit underwriting models that can serve the under-banked or thin file borrowers by using alternate data from social platform and mobile phone.- Experience in usage of nonstandard data in decision making will be an added advantage.- Create PD, EAD, LGD models to feed into the Expected Credit Loss framework (ECL).- Develop analytical frameworks for products related to Buy Now Pay Later (BNPL), Personal Loans, Credit Card etc.- Use ML algorithms to solve problems related to computer vision, recommendation engine and forecasting.- Help functional teams manage their P& L by providing data backed strategy insights and help teams set right price and right line for the right customers.- Lead the Data Engineering charter. Ensure Data pipelining and Analytics taxonomies are world class. Own Data quality metrics end to end.Requirements:- Overall experience of 12+ years.- Knowledge of Statistics.- Programming skills: Java/Python/Hive/Hadoop/HBase/Unix/Map Reduce/ Perl/Matlab/XML - Technical skills: R / SAS /SPSS /SQL/ Mahout /Spark/Kitsch/ Weka- Experience in machine learning modelling techniques.- Exceptional problem solving and analytical skills.- Expertise in NBFC/Fintech in creating scorecards is good to have.- Experience with AWS SageMaker is a plus.,
Keyskills :
data engineeringjavabig data analyticspersonal loansdata qualitydata warehousingpythonbig datamachine learningdata analyticsproblem solvingcredit risksqlcomputer visioninformatica