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Data Scientist - Credit Risk

1.00 to 5.00 Years   Mumbai City   23 Mar, 2023
TalentCo Search Pvt Ltd
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaFinance / Accounts / TaxGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Data Scientist in the team has end-to-end responsibilities to develop and deploy machine learning models that support every function of the business - credit & fraud risk, KYC, marketing, process, pricing optimization, etc. All aspects of the business are data-driven, and all processes and standard practices are open to data-driven disruption. Key Responsibilities - Understand the business deeply and translate business problems to data science and analytics problems- Understanding of regulatory landscape of lending business and Loss understanding would be a good plus. Exposure to regulatory model development/Monitoring/Reporting concepts.- Brainstorm, research, learn & implement using new/existing AI & Machine learning algorithms - Use data to create statistical models and build algorithms using R / Python- Develop solid understanding of business drivers and how data is used to drive decisions and behaviors- Collaborate with multiple stakeholders and teams such as Product, Operations, Collections etc- Presenting model results to management using data visualization tools- Develop, deploy, and manage scalable data pipelines, and APIs. Desired Skills/Experience - 1- 5 years of experience in hands-on ML model development using python/R- Mathematical & statistical understanding of machine learning algorithms (GBM, Logistic Regression, Linear Regression, Deep Learning)- Ability to draw conclusions and insights from data. Strong logical reasoning and data interpretation skills- Excellent communication and interpersonal skills & the desire to solve hard problems- Experience in model deployment is strongly preferred- Experience in leading a team of data scientists, python developers, analysts is strongly preferred- Background in Statistics, Mathematics, Economics, Finance and Computer Science is strongly preferred,

Keyskills :
machine learningpythondata analysissqlanalyticsdata sciencecomputer sciencelinear regressionmodel developmentdata visualizationlogistic regressiondata interpretation

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