Data Scientist - Fraud Analytics

Key Responsibilities :

• Develop and implement credit risk models to assess borrower risk and optimize portfolio performance.
• Design and execute fraud detection models and analytics frameworks to identify suspicious activity.
• Conduct forecasting and predictive analytics to support business strategy and risk management.
• Translate complex data into strategic insights for business stakeholders.
• Work with cross-functional teams to provide actionable recommendations for credit policy, fraud prevention, and risk strategies.
• Perform data extraction, cleaning, and analysis using SQL Server and Python.
• Continuously monitor model performance and recalibrate as necessary.
• Support regulatory and compliance requirements by documenting models and Skills & Qualifications :
• Bachelors / Masters degree in Statistics, Mathematics, Economics, Computer Science, or

related field.

(ref : hirist.tech)