Trading Operations Intern

The role

You will support the day-to-day operations of a live quantitative trading desk. This is not a shadowing internship. From week one you will own a defined set of daily checks, and by month three you should be running them independently and have automated at least one of them.

• Daily desk operations: run morning balance and inventory checks across exchanges and chains; flag breaks and upscale early
• Reconciliation: compare exchange and on-chain balances against our internal ledger; investigate and document differences
• Venue and account admin: help maintain our exchange account records, API key inventory, fee-tier status and counter party onboarding checklists
• Reporting: prepare inputs for daily and weekly desk reports to management
• Automation: turn at least one recurring manual check into a script or dashboard using Python/SQL and our internal data tools
• Adhoc: support traders and engineers on operational questions as they come up

• Howa quantitative trading desk actually runs: inventory, funding, fees, venue relationships
• Operational controls at a firm where an unexplained break is treated as a real problem, nota rounding error
• How to build operational tooling with an AI-native team

• Penultimate or final-year undergraduate, master's student, or recent graduate in finance, economics, engineering, computer science, mathematics or a related field
• Strong numeracy and attention to detail: you notice when a number doesn't tie out
• Genuine interest in crypto market structure and quantitative trading; you should be able to explain what a market maker does
• Exposure to AI-enabled tools, workflow automation, data dashboards, SQL/Python, or on-chain data platforms is an asset
• Exposure to traditional financial market structure, market participants and the evolving regulatory landscape across major jurisdictions is a plus
• Able to commit at least 3 days per week, including fixed days for daily checks
• Fluent English;
  Mandarin a plus

• Internship at a trading firm, exchange, fintech or fund
• Personal trading or on-chain experience; side projects with real data
• Familiarity with LLM / agent tooling