Responsibilities: Work with data engineer to collect, clean, and prepare relevant datasets. Develop and train machine learning models to predict creditworthiness. Evaluate model performance and

Responsibilities: Design and implement data pipelines to collect, store, and process data required. Ensure data quality and integrity. Develop APIs for integrating the credit assessment

Responsibilities: Explore and analyse data to identify patterns and trends. Develop and implement machine learning algorithms for recommendation Evaluate and refine recommendation models based on

Responsibilities: Collect, clean, and prepare relevant datasets from various sources Develop data pipelines to ensure efficient data flow and processing, real-time near real-time is preferred.

Responsibilities: Define the overall data architecture and governance framework. Ensure consistency and alignment with business objectives Design and develop data pipelines and automation workflows using

Responsibilities: Collaborate with researchers and business units to understand various data sources Evaluate the technology solution to acquire and store the data Design and implement

Responsibilities: Understand each data point nature, flow & underlying technologies needed to collect the data Design and implement data pipelines to collect, clean, and transform

Role Overview: Implement and manage advanced threat detection tools and techniques and Develop and refine threat models to assess and address security risks. Responsibilities: Deploy

Role Overview: Lead the implementation of modern security tools and practices, focusing on integrating next-gen security solutions into the development lifecycle. Focus on enhancing application

Role Overview: Lead the deployment, configuration, and integration of DAM tools. Manage system performance, optimize monitoring effectiveness, and ensure compliance with regulations and standards. Focus