AI & Market Risk Intern: Data, NLP & Dashboards

BHP; Singapore; On-site; SGD 13,000 - 20,000; Full time

Benefits offered by this job

Safety & well-being

Development opportunities

Global intern network

Flexible working options

Parental leave

Job summary

BHP is offering a 6-month Commercial Internship Programme in Singapore designed to give real-world experience in market risk and data analytics. You will work on projects leveraging macroeconomic indicators, commodity fundamentals, and LLMs to enhance risk assessment.

You’ll gain hands-on experience with AI applications in finance, build dashboards in Power BI, and collaborate within a diverse, global intern network while developing technical and professional skills.

Qualifications

• Undergraduate/postgraduate student pursuing a quantitative degree.
• Strong Python and SQL proficiency.

Responsibilities

• Support development of AI and GenAI solutions for market risk management, focusing on stress testing and tail risk.
• Collect, clean, validate, and analyze structured and unstructured data (commodities, macro indicators, market reports, news).
• Apply ML, NLP, and LLM techniques to extract market insights and support probabilistic scenario generation.
• Develop dashboards and visualizations using Power BI and Python to communicate risk insights.

Skills

Python

SQL

Machine Learning

LLMs

Data analytics

Analytical thinking

Education

Undergraduate/postgraduate degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Quantitative Finance, Economics or related field

Tools

Power BI

Python (coding)

Job description

BHP is offering a 6-month Commercial Internship Programme in Singapore designed to give real-world experience in market risk and data analytics. You will work on projects leveraging macroeconomic indicators, commodity fundamentals, and LLMs to enhance risk assessment.

You’ll gain hands-on experience with AI applications in finance, build dashboards in Power BI, and collaborate within a diverse, global intern network while developing technical and professional skills.