Data Modeler II

📋 Description

• Deliver high quality analytical and value-added services for the clients while following timelines
• Engage Business/Technical Consultants and delivery teams so that there is a shared understanding
• Use analysis and customer insights to develop value propositions for customers

🎯 Requirements

• Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
• Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision
• Decent understanding and hands-on of statistical modelling/data analysis tools especially Python
• Understanding of decisioning and portfolio management in banking and financial services would be
• Understanding of credit bureau would be an added advantage

🎁 Benefits

• Great compensation package and discretionary bonus plan
• Core benefits include pension, health insurance, term life insurance, Sharesave scheme and more
• 25 days annual leave with 13 bank holidays and 3 volunteering days; option to purchase additional
• Report to Senior Analytics Consultant