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

. Adhoc: support traders and engineers on operational questions as they come up

What you will learn

. 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

Who we are looking for

. 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

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

Trading Operations Intern