As a Quantitative Credit Modelling Analyst, you'll dive into data to help shape credit models. This role is perfect for those who enjoy working with numbers and have a strong analytical mindset.
Analytical and data-driven environment
In this role, you will be part of a team focused on developing and refining credit models using various data analytics techniques. Your day-to-day tasks will involve reviewing methodologies, assumptions, and ensuring data integrity while adhering to governance frameworks. You will work closely with other data professionals to implement predictive modelling and data mining strategies that drive insights and decision-making.
Key responsibilities include: • Analyzing large datasets to extract meaningful insights • Developing and validating credit models • Collaborating with data scientists and analysts to enhance modelling techniques • Ensuring compliance with data governance standards
This position suits individuals with a strong background in Mathematics, Statistics, Actuarial Science, or Data Science. You should be comfortable using programming languages like Python and R, as well as SQL for data manipulation. A solid understanding of predictive modelling and analytical techniques is essential for success in this role. If you have experience with Machine Learning or NLP, that would be a bonus, but it's not mandatory.
Overall, this role is ideal for someone who is detail-oriented and enjoys working with complex data sets to drive business outcomes. If you are passionate about data and have a knack for analytical thinking, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.