Job
Description
Role Overview: You will be working as a Senior Cyber Security Analyst for a company that provides advanced digital and AI-driven solutions focusing on customer onboarding, risk management, and fraud prevention. The organization's technology enables financial institutions and businesses to make faster, more informed decisions by combining data intelligence, automation, and machine learning. Key Responsibilities: - Design, develop, and optimize ML models for credit scoring, risk prediction, and scorecard generation. - Implement scalable pipelines for model training, validation, and deployment in production environments. - Identify, extract, and engineer key features from structured and unstructured data to enhance model performance. - Establish continuous monitoring frameworks to track model drift, performance metrics, and data quality. - Explore and apply state-of-the-art ML and transformer architectures to improve predictive accuracy and interpretability. - Work closely with data engineers, product managers, and domain experts to translate business objectives into robust ML solutions. Qualification Required: - 2+ years of hands-on experience in developing, training, and deploying ML models for structured or tabular data. - Solid understanding of statistical concepts, feature engineering, and model evaluation techniques. - Experience with scikit-learn, PyTorch, or TensorFlow for building and optimizing predictive models. - Strong proficiency in Python, with experience using NumPy, Pandas, and Matplotlib for data manipulation and analysis. - Practical experience with large datasets, data cleaning, preprocessing, and transformation for ML workflows. - Proficiency in writing SQL queries and integrating ML models with APIs or backend systems. - Familiarity with Git and collaborative model development practices. Additional Details: The company focuses on combining data intelligence, automation, and machine learning to streamline verification processes, enhance compliance, and deliver a seamless digital experience across industries.,
