Risk Operations AI Specialist

AsiaRemoteFull-time: Remotemid

OtherRisk

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Overview

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.

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OtherRisk

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Binance's Risk Operations team is executing an AI-First transformation — moving from manual case review toward a fully autonomous decision pipeline powered by ROCA (Risk Operations AI Agent). This role sits at the critical human-in-the-loop node: reviewing cases where ROCA's confidence score falls below the auto-decision threshold, generating structured feedback that drives continuous model improvement, and progressively expanding the automation boundary.This is not a traditional fraud analyst role.

Think of it like the shift from manual labor to the steam engine era — the people who thrived weren't the ones who resisted the machine, but those who learned to operate it. Here, you are the operator: you direct the AI, validate its judgment, correct its blind spots, and steer it toward better outcomes. The machine handles the volume; you provide the expertise it can't yet replicate.

Review cases escalated by ROCA where confidence score falls below the auto-decision threshold, using AI-assisted signals within the unified case review UI (no multi-system switching)

Make accurate pass / block / escalate decisions on a daily queue spanning KYC Audit, ATO investigation, Reset 2FA, POA Review, and Withdrawal anomaly case types etc.

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 — this data directly feeds ROCA's continuous learning pipeline

Identify recurring FP/FN patterns and route them through the correct feedback path:

Type A — Feature weight bias → trigger model retraining / fine-tune

Type B — Threshold miscalibration → update Decision Hub rules (with A/B validation)

Type C — SOP gap or logic error → update SOP (version-tracked)

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, challenge decision thresholds with data

Maintain and update Confluence SOP pages for assigned case types; SOP coverage rate target ≥ 80% (directly impacts ROCA first-pass accuracy)

Flag SOP coverage gaps when ROCA's reasoning chain reveals unhandled scenarios; draft SOP additions for Team Lead review

Onboard and calibrate BPO agents on AI-assisted review workflows; monitor BPO quality against automated QA benchmarks

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: you read model outputs, interpret confidence scores, and make decisions based on AI-generated signals rather than raw data alone
Structured, precise written communication: you can document a root-cause annotation in <3 sentences that an ML engineer can act on
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
An operator's mindset toward AI tools: you leverage AI signals to make faster, better decisions — you master the tool rather than compete with it

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 — you don't need to build models, but you need to speak the language

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