About the job
This is an exciting opportunity to join the Risk Analytics team at OakNorth Bank as an intern. The role offers hands-on exposure to credit risk analytics, with a strong focus on automation, coding, data analysis, and model development support activities.
You will work closely with the team on real-world datasets and contribute to ongoing model risk analytics projects while gaining practical exposure to risk management in a banking environment.
Roles and Responsibilities
- Automate risk analytics existing processes like provisioning, stress testing etc. and improve code efficiency
- Perform exploratory data analysis (EDA)
- Support the team in developing, testing, and validating credit risk models (PD/LGD/EAD) including data extraction, factor analysis, and transformation using Python and SQL
- Assist in model validation, monitoring and performance tracking
- Collaborate with team members on ongoing projects and contribute to discussions
What are we looking for
- Final year student or recent graduate in a quantitative field (Engineering, Mathematics, Statistics, Economics, etc.) from Top colleges.
- Strong programming skills in Python/R/SAS (Must have) and familiarity with SQL
- Good understanding of data manipulation libraries (Pandas, NumPy) and basic statistics
- Attention to detail and eagerness to learn
Good to Have (Not Mandatory)
- Exposure to machine learning or statistical modelling
- Experience working on projects involving real datasets (academic or personal)
What You’ll Gain
- Opportunity to build production-level coding skills
- Hands-on experience working with real financial datasets
- Exposure to credit risk modelling and model lifecycle processes
- Mentorship from experienced risk analytics professionals