As a Quantitative Credit Modelling Analyst, you'll dive into data to help shape credit strategies. This role is perfect for someone with a strong analytical background and a passion for data-driven decision-making.
In this role, you'll be part of a team that specializes in quantitative credit modelling. Your main responsibility will be to analyze data and develop models that inform credit decisions. You'll work with various data sources and apply statistical techniques to ensure the accuracy and reliability of your findings.
Your day-to-day tasks will include reviewing methodologies and assumptions, ensuring data integrity, and adhering to governance frameworks. You'll also be expected to leverage your skills in Python, R, and SQL to extract insights from complex datasets. Collaboration with other data professionals will be key, as you'll share findings and contribute to broader analytical projects.
This position suits someone with a strong background in Mathematics, Statistics, Actuarial Science, or Data Science. A solid understanding of data mining and predictive modelling techniques is essential. If you have experience with Machine Learning or Natural Language Processing, that's a bonus, but not mandatory.
Overall, this role is ideal for those who enjoy working with data and have a keen eye for detail. You'll be contributing to important credit decisions that impact the organization, so a commitment to data integrity and analytical rigor is crucial.
You'll be taken to the original listing on PNet to apply.