AI Engineer, Trading Ops & Management

Crypto.com is hiring an AI Engineer, Trading Ops & Management in Hong Kong, Hong Kong SAR China. Level rates it ; you can apply on Level.

AI in this role

Build and maintain AI-powered trading infrastructure and automated risk models using large language models.

llmspython

machine-learningautomationrisk-modeling

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer.

The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses.

How we rate this

AI Engineer, Trading Ops & Management at Crypto.com rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

AI Engineer, Trading Ops & Management is an open job at Crypto.com.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Hong Kong.
The job was posted on October 9, 2026.
Seniority: senior.
Applications are handled by Crypto.com. Apply on Crypto.com

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine learningAutomationRisk ModelingLLMsPython

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where risk modeling was part of your work. What did you do?
What's a project where you used LLMs hands-on?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Automation, Risk Modeling, LLMs, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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