Join a dynamic risk analytics team as a Credit Risk Data Scientist. This role focuses on using data science techniques to enhance credit risk strategies and improve customer outcomes.
As a Credit Risk Data Scientist at Network Finance, you'll be part of a high-performing team dedicated to leveraging data for better decision-making in the financial services sector. Your role will involve working with large datasets to perform exploratory data analysis and develop predictive models that inform credit risk strategies. You'll be expected to provide data-driven recommendations that enhance customer outcomes and strengthen risk management practices.
In your day-to-day work, you will engage in various tasks such as: • Conducting exploratory data analysis to uncover insights • Performing feature engineering to improve model performance • Assessing the effectiveness of existing credit risk models • Collaborating with team members to optimize strategies based on data findings
This position is ideal for someone who is passionate about data and has a strong analytical mindset. You should be comfortable working with complex datasets and have experience in building predictive models. A background in risk analytics or financial services would be beneficial but is not mandatory. If you are looking to make a significant impact through data-driven solutions, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.