As a Quantitative Credit Modelling Analyst, you'll dive deep into data to help shape credit strategies. Your work will involve using advanced analytical techniques to ensure data integrity and effective governance.
In the role of Quantitative Credit Modelling Analyst at Network Finance, you'll be part of a team that specializes in data and analytics. Your primary focus will be on analyzing credit data to support decision-making processes. This involves reviewing methodologies, assumptions, and ensuring the integrity of the data used in credit modelling.
You will work with a variety of tools and programming languages, including Python, R, and SQL, to perform data mining and predictive modelling. Your analytical skills will be crucial in developing frameworks that govern the use of data, ensuring that all processes are robust and reliable.
This position is ideal for someone with a strong background in Mathematics, Statistics, Actuarial Science, or Data Science. You should have experience with advanced analytical techniques and a keen eye for detail. Familiarity with Machine Learning and Natural Language Processing is a plus, but not mandatory.
Key responsibilities include: • Reviewing and validating data methodologies and assumptions • Conducting data mining and predictive modelling • Ensuring data integrity and governance frameworks are adhered to
If you are passionate about data and want to make a significant impact in the credit sector, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.