Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish – and we're not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow.
Job DescriptionWe are looking for a Data Modeller 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
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