Senior Risk Manager, Trading (AI-Augmented Operations)

OKX

Singapore

On-site

SGD 80,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Learning and development programs
Education subsidy for employees

Job summary

OKX is seeking a Senior Risk Manager for its trading operations in Singapore. The role involves reviewing AI agent outputs for risk assessments, conducting investigations of market abuse signals, and collaborating with various teams to ensure high-quality risk evaluations. Candidates should have over 3 years of experience in trading risk, preferably in the crypto sector, and possess strong data intuition and collaboration skills. Proficiency in SQL or Python is a plus, and Mandarin knowledge is beneficial for team collaboration.

Qualifications

  • 3+ years of trading risk experience, especially in crypto exchanges or derivatives venues.
  • Deep knowledge of market abuse and attack vectors.
  • Strong ability to QA AI-generated analysis.

Responsibilities

  • Review AI agent outputs and elevate risk events with clear documentation.
  • Operate AI-assisted investigation workflows and verify agent reasoning.
  • Conduct regular reviews of agent performance to assess quality.

Skills

Trading risk expertise
Data intuition
AI-augmented workflow proficiency
Cross-functional collaboration

Tools

SQL
Python

Job description

Senior Risk Manager, Trading (AI-Augmented Operations)

OKX will be prioritising applicants who have a current right to work in Singapore and do not require OKX's sponsorship of a visa.

About The Team

Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.

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 elevate 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 the validity, and elevate 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 to 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, ensuring 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.
  • L&D programs and education subsidy for employees' growth and development.
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