Risk Operations AI Specialist
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About the Company
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We leverage digital assets and blockchain to build an inclusive financial ecosystem to advance financial access worldwide.
About the Role
Binance's Risk Operations team is executing an AI-First transformation. This human-in-the-loop role reviews cases where ROCA's confidence is below the auto-decision threshold, generates structured feedback that drives continuous model improvement, and progressively expands the automation boundary. This is not a traditional fraud analyst role.
Responsibilities
- Review cases escalated by ROCA where confidence scores fall below the auto-decision threshold using the unified case review UI.
- Make accurate pass / block / escalate decisions daily across KYC Audit, ATO investigation, Reset 2FA, POA Review, and withdrawal anomaly case types.
- Escalate Key User cases (Priority ≥ 75) and high-risk patterns to Senior Agent / Team Lead with clear rationale documentation.
- Maintain SLA compliance (<4h manual resolution time) while sustaining decision accuracy ≥ 98%.
- Label every reviewed case as TP / TN / FP / FN with structured root-cause annotations that feed ROCA's continuous learning pipeline.
- Identify recurring FP/FN patterns and route them through the correct feedback paths (Type A — feature weight bias → retrain/fine-tune; Type B — threshold miscalibration → update Decision Hub with A/B validation; Type C — SOP gap → update SOP).
- Actively contribute to improving Precision (>95%) and Recall (>99%) targets by surfacing systematic signal failures to Data and Model teams.
- Participate in regular AI model calibration sessions: review misclassification batches, validate ground truth, and challenge decision thresholds with data.
- Maintain and update Confluence SOP pages for assigned case types; target SOP coverage ≥ 80%.
- Flag SOP coverage gaps revealed by ROCA's reasoning chain and draft SOP additions for Team Lead review.
- Onboard and calibrate BPO agents on AI-assisted review workflows and monitor BPO quality against automated QA benchmarks.
Qualifications
- 2+ years in fraud review, risk operations, or KYC/KYB case management.
- Hands-on experience with ATO (Account Takeover) detection and investigation.
- Comfort working in AI-augmented workflows: read model outputs, interpret confidence scores, and make decisions based on AI-generated signals.
- Structured, precise written communication: able to document a root-cause annotation in <3 sentences that an ML engineer can act on.
- Bilingual English / Mandarin is required to coordinate with overseas partners and stakeholders.
- An operator's mindset toward AI tools: leverage AI signals to make faster, better decisions.
Nice to have
- Experience in crypto / Web3 / VASP risk environment; familiarity with blockchain transaction patterns (Sybil attacks, wash trading, mule account indicators).
- Exposure to ML model evaluation concepts: Precision, Recall, F1, confusion matrix.
- Familiarity with prompt engineering or LLM evaluation workflows; experience reviewing or testing AI-generated decisions at scale.
- CAMS, CFE, or equivalent AML / fraud certification.
- Prior involvement in SOP authoring, QA calibration, or BPO oversight for a risk operations team.
Benefits
- Competitive salary and company benefits.
- Collaborate with world-class talent in a flat, user-centric global organization.
- Tackle unique, fast-paced projects with autonomy and opportunities for career growth and continuous learning.
- Work-from-home arrangement (may vary depending on the work nature of the business team).
Additional Information
Binance is committed to being an equal opportunity employer. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. Binance may use AI tools to support parts of the hiring process; these tools assist recruitment but final hiring decisions are made by humans.
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คุณสมบัติผู้สมัคร
- ประสบการณ์
- 3-5 ปี
- การศึกษา
- ไม่ระบุ
