Senior AI Engineer: Identity Risk & Fraud Defense

Neobankbeat; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive pay

Education subsidy

Team events

Wellness and meals

Healthcare for employees

Job summary

OKX is seeking a Senior AI Engineer to design, build, and own identity-risk models. You will fuse verification scores, device/geo data, and user behavior into trust signals, using graph and clustering methods to uncover fraud at scale in real-time.

You will work closely with Product, Risk, and Compliance, shipping models into high-risk production environments and raising the technical bar for the team with advanced ML techniques.

Qualifications

• 5+ years building risk-control or identity-trust models.
• Graph clustering expertise in fraud or abuse detection.
• Behavioral feature engineering and sequence modeling.
• Proficiency with PyTorch or TensorFlow; production ML experience.
• Strong coding skills in Python and SQL; end-to-end systems.

Responsibilities

• Design and ship identity trust risk models for real-time decisions.
• Build entity graphs across accounts, devices, faces, and docs to detect fraud rings.
• Develop real-time and offline behavioral feature sequences.
• Convert biometric signals and document checks into reliable risk inputs.
• Collaborate with product, risk, and compliance to productionize models.

Skills

Identity risk modeling

Fraud detection

Graph clustering

Behavioral modeling

Biometric signals

Python

SQL

PyTorch

TensorFlow

Strong coding

Education

Bachelor's degree in CS/EE or related

Tools

Neo4j

GraphX

Spark

Flink

Kafka

Airflow

Snowflake

Job description

OKX is seeking a Senior AI Engineer to design, build, and own identity-risk models. You will fuse verification scores, device/geo data, and user behavior into trust signals, using graph and clustering methods to uncover fraud at scale in real-time.

You will work closely with Product, Risk, and Compliance, shipping models into high-risk production environments and raising the technical bar for the team with advanced ML techniques.