Job Description

Responsibilities :

• Utilize advanced analytical techniques to develop predictive models and algorithms aimed at optimizing business operations and improving customer experience.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in financial data sets.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Design and implement data pipelines for data extraction, transformation, and loading (ETL) processes.
• Develop and deploy machine learning models for credit risk assessment, fraud detection, customer segmentation, and other banking-related applications.
• Conduct A / B testing and validate model performance to ensure robustness and reliability.
• Stay updated with industry trends and advancements in data science and machine learning, applying them to enhance existing models and methodologies.
• Communicate findings and insights to technical and non-technical stakeholders through clear visualizations and presentations.

Requirements :