Trading Operations Intern
hkdag (singapore) pte. ltd.- Posted 6 days ago
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Job Description
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
