Data Expert in Credit Analytics

5 days ago

pushkar, India beBeeCredit Full time

Data Scientist Credit Risk JobAre you an analytically strong professional with expertise in credit card analytics, portfolio management, and risk strategy? Do you have a deep understanding of LTV (Lifetime Value) and risk-reward trade-off modelling?We are seeking individuals who can develop, validate, and enhance LTV models, credit risk models, and portfolio profitability frameworks.Develop and refine credit risk models using machine learning algorithms and statistical techniques.Analyze large datasets to identify trends and patterns in consumer behavior and creditworthiness.Collaborate with cross-functional teams to design data-driven credit policies and limit strategies.Evaluate new data sources for usage in strategy development and conduct ad hoc analysis to support business decisions.Lead portfolio analytics initiatives to track and improve credit performance.Required Skills and QualificationsWe require candidates with the following skills and qualifications:Bachelor's degree in a quantitative field such as computer science, data science, engineering, economics, or mathematics.Proven experience in LTV modelling, risk-reward trade-off, and portfolio profitability optimization.Hands-on proficiency in programming languages such as Python or R, and SQL for data extraction and manipulation.Expertise in predictive modelling techniques including logistic regression, decision trees, gradient boosting, and survival analysis.Familiarity with credit bureau data, scorecards, and portfolio forecasting techniques.BenefitsAs a Data Scientist Credit Risk, you will have the opportunity to work on end-to-end credit portfolio analytics driving real financial outcomes. You will also be exposed to U.S. credit card portfolios and data-driven risk strategy. Additionally, you will collaborate with cross-functional teams across risk, marketing, and product to shape growth and profitability.

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