Trading Data Analytics Intern: AI-Driven Insights

Glencore

Singapore

Hybrid

SGD 17,000 - 28,000

Full time

3 days ago
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Job summary

Glencore is seeking a Data Analytics Intern — Trading to work on real business requirements alongside analysts, quants, and data engineers. You will clean and extract data, automate manual tasks, and build tools and analytics that trading desks rely on.

This hands-on role requires coding in Python or SQL, applying AI tools, and delivering charts and dashboards. You may progress to closer collaboration with desks as you grow, with exposure to data pipelines, backtesting concepts, and

Qualifications

  • Pursuing a degree in STEM or related fields.
  • Ability to code in Python and/or SQL.
  • Strong analytical, problem-solving, and attention-to-detail skills.
  • Ability to take a business requirement and deliver a working result.
  • Interest in commodities, shipping, or data-driven analytics.

Responsibilities

  • Extract and clean data from APIs, web sources, portals, and internal databases
  • Write Python/SQL to build pipelines, scrapers, and tools the desk needs
  • Apply LLMs and AI tools to problems that used to take manual effort
  • Prepare charts, dashboards, and summaries for the desk
  • Track vessel movements, cargo flows, refinery events, and supply/demand indicators
  • Investigate and flag data-quality issues
  • Advanced Scope (Quant & Engineering) — develop statistical and machine-learning models for trading workflows
  • Run quantitative research and backtesting on large datasets
  • Build production-grade Python and automated data pipelines
  • Optimise and refactor existing systems for performance and reliability

Skills

Python
SQL
Analytical thinking
Attention to detail
Business requirements translation
Interest in commodities/shipping/data‑

Education

STEM/Quant/Business degree pursuit

Tools

Databricks
AWS
Azure
Power BI
Tableau
Pandas/NumPy

Job description

Glencore is seeking a Data Analytics Intern — Trading to work on real business requirements alongside analysts, quants, and data engineers. You will clean and extract data, automate manual tasks, and build tools and analytics that trading desks rely on.

This hands-on role requires coding in Python or SQL, applying AI tools, and delivering charts and dashboards. You may progress to closer collaboration with desks as you grow, with exposure to data pipelines, backtesting concepts, and

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