Risk Analytics Intern

About this internship

This is an exciting opportunity to join the Risk Analytics team at OakNorth Bank as an intern in Gurgaon, with hands-on exposure to credit-risk analytics and a strong focus on automation, coding, data analysis and model-development support. You will work on real-world datasets and contribute to ongoing model-risk analytics projects while gaining practical experience of risk management in a banking environment. You will automate existing risk-analytics processes such as provisioning and stress testing while improving code efficiency, perform exploratory data analysis (EDA), and support the development, testing and validation of credit-risk models (PD/LGD/EAD) — including data extraction, factor analysis and transformation using Python and SQL. You will also assist with model validation, monitoring and performance tracking, and collaborate with the team on ongoing projects, building production-level coding skills along the way.

Skills you'll use

What you'll do

• Automate risk-analytics processes such as provisioning and stress testing
• Perform exploratory data analysis (EDA) on real financial datasets
• Support development, testing and validation of credit-risk models (PD/LGD/EAD)
• Extract data and run factor analysis and transformations using Python and SQL
• Assist in model validation, monitoring and performance tracking
• Collaborate with team members and contribute to ongoing projects and discussions

Who can apply

• Final-year student or recent graduate in a quantitative field (Engineering, Maths, Statistics, Economics)
• 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: exposure to machine learning or statistical modelling on real datasets

Perks & benefits

About OakNorth Bank

This is an exciting opportunity to join the Risk Analytics team at OakNorth Bank as an intern in Gurgaon, with hands-on exposure to credit-risk analytics and a strong focus on automation, coding, data analysis and model-development support. You will work on real-world datasets and contribute to ongoing model-risk analytics projects while gaining practical experience of risk management in a banking environment. You will automate existing risk-analytics processes such as provisioning and stress testing while improving code efficiency, perform exploratory data analysis (EDA), and support the development, testing and validation of credit-risk models (PD/LGD/EAD) — including data extraction, factor analysis and transformation using Python and SQL. You will also assist with model validation, monitoring and performance tracking, and collaborate with the team on ongoing projects, building production-level coding skills along the way.

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