As a Quantitative Credit Modelling Analyst, you'll dive into data to help shape credit models. This role is perfect for those who love working with numbers and have a knack for analytical thinking.
The Quantitative Credit Modelling Analyst role at Network Finance involves working with data to develop and refine credit models. You will be part of a team that focuses on data integrity and governance, ensuring that the methodologies and assumptions used in credit assessments are robust and reliable.
In your day-to-day work, you will utilize programming languages like Python and R, along with SQL, to analyze large datasets. Your responsibilities will include:
This position is ideal for individuals with a strong background in Mathematics, Statistics, Actuarial Science, or Data Science. A keen interest in machine learning and AI will be beneficial, especially if you have experience with ML Ops or natural language processing (NLP). If you enjoy solving complex problems and working with data to drive decision-making, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.