Data Scientist
Simran sUnited StatesSENIORPosted 13d ago
PythonSQLMachineLearningPredictiveModelingCreditRiskPortfolioAnalyticsFinancialForecastingBankingLendingMortgageInvestmentAnalyticsABSMBSDefaultPredictionDelinquencyLossForecastingPandasNumPyScikit-learnStatisticalModelingTime-SeriesForecastingFinancialRiskAssessmentAWSAzureGCPDatabricksSnowflakePySparkGenAIMLOpsTableauPowerBI
About the Role
We are seeking a Data Scientist with extensive experience in the financial services domain. This role involves working with complex financial data to develop predictive models and risk assessment tools.
Key Responsibilities
• Develop and implement machine learning models for credit risk, portfolio analytics, and financial forecasting
• Analyze financial data to identify trends and patterns
• Create predictive models for default prediction, delinquency, and loss forecasting
• Utilize statistical modeling and time-series forecasting techniques
• Work with financial instruments including asset-backed securities and mortgage-backed securities
Requirements
• 11+ years of experience in data science with a strong focus on financial services
• Expertise in Python, SQL, and machine learning algorithms
• Experience with financial analytics including credit risk, portfolio analytics, and investment analytics
• Proficiency in data manipulation with Pandas, NumPy, and Scikit-learn
• Knowledge of time-series forecasting and financial risk assessment
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Databricks, Snowflake, PySpark)
• Strong understanding of financial instruments and markets
Benefits
• Opportunity to work on challenging financial data problems
• Collaborative and innovative work environment