As a Quantitative Credit Modelling Analyst, you'll dive into data to support credit decisions. This role is perfect for those who enjoy working with numbers and have a knack for analytical thinking.
In this role, you'll be part of a team that specializes in quantitative credit modelling. Your primary responsibility will be to analyze data and develop models that help assess credit risk. You'll work closely with other data professionals, ensuring that the methodologies and assumptions used in your analyses are sound and reliable.
Your day-to-day tasks will include reviewing data integrity and governance frameworks, as well as applying various analytical techniques to extract insights from large datasets. You'll need to be comfortable using programming languages like Python and R, as well as SQL for data manipulation.
This position is ideal for someone with a strong background in Mathematics, Statistics, Actuarial Science, or Data Science. If you have experience in data mining and predictive modelling, you'll find this role particularly rewarding. The company values a rigorous approach to data analysis, so attention to detail and a commitment to accuracy are essential.
Overall, if you enjoy working with data and have a passion for quantitative analysis, this role could be a great fit for you. You'll be contributing to important credit decisions and helping to shape the company's approach to risk management.
You'll be taken to the original listing on PNet to apply.