Data Modeler II

We are looking for a Data Modeler to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products.

You will also support our business teams, pre-sales and analytics to ensure product creation.
Suited to someone who has 3 to 4 years' experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights.

What you'll do

Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client.
You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution
You will Use analysis and customer insights to develop value propositions for customers

What you'll need to bring to the party

Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
Decent understanding and hands-on of statistical modelling/data analysis tools especially Python, Pyspark or SAS and market trends
Applied statistics skills, such as distributions, statistical testing, regression etc.
Understanding of decisioning and portfolio management in banking and financial services would be added advantage
Understanding of credit bureau would be an added advantage