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. What you will do Daily desk operations: run morning balance and inventory checks across exchanges and chains; flag breaks and escalate 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 counterparty 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 Ad hoc: support traders and engineers on operational questions as they come up What you will learn How a 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, not a rounding error How to build operational tooling with an AI-native team Who we are looking for Able to commit at least 3 days per week for a minimum of 6 months, with a consistent weekly schedule. 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 Fluent English; Mandarin a plus Nice to have 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