Senior Risk Manager, Trading (AI-Augmented Operations)

Okx; Hong Kong; On-site; HKD 548,589 - 783,699; Full time

Job summary

OKX in Hong Kong is seeking a Senior Risk Manager for AI-Augmented Operations. The role involves reviewing AI outputs in trading risk contexts and conducting investigations into market abuse signals. Candidates should have a minimum of 3 years' experience in trading risk, especially within crypto markets, and strong collaborative skills. Knowledge of SQL or Python and familiarity with risk attack vectors are advantageous. This position supports cross-functional teams and enhances risk monitoring processes.

Qualifications

• Minimum 3 years of trading risk experience, ideally in a crypto exchange.
• Deep understanding of risk attack vectors like pump-and-dump and wash trading.
• Ability to QA AI-generated analysis and identify anomalies.

Responsibilities

• Review AI agent outputs across risk monitoring workflows.
• Operate AI-assisted investigation workflows covering key risk metrics.
• Review AI-surfaced signals related to suspected market abuse.

Skills

Risk analysis

Data intuition

Cross-functional collaboration

Tools

SQL

Python

Job description

Senior Risk Manager, Trading (AI-Augmented Operations)

Hong Kong, Hong Kong SAR

What You’ll Be Doing

• AI Agent Review & Escalation - Review AI agent outputs across risk monitoring workflows; assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
• Risk Patrol Operation - Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
• Market Abuse Investigation - Review AI-surfaced signals related to suspected market abuse, assess validity, and escalate to the appropriate team with a structured findings report.
• SOP Development & Agent Skill Authorship - Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
• Risk System Quality Review - Conduct regular reviews of agent performance, assess output quality, surface systematic errors, and propose refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
• Cross-Functional Risk Coordination - Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.

What We Look For In You

3+ years in trading risk, ideally at a crypto exchange or derivatives venue.

Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.

Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.

Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.

Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.

Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.

Nice-To-Haves

• Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
• Personal trading experience or financial risk certification (FRM/CFA).
• Mandarin proficiency for collaboration with technical teams.
• Experience writing or refining risk SOPs or runbooks.