Data Engineer (Risk) at OKX: Building Secure Financial Futures

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Overview

OKX, a leading global cryptocurrency exchange and Web3 ecosystem, is seeking a Data Engineer (Risk) to join its Singapore team. This role focuses on developing data-driven risk control systems to safeguard millions of users against fraud, misuse, and security threats in the blockchain space.

👉 Discover career opportunities at OKX


Role Summary

Location: Singapore
Employment Type: Full-time (Applicants must have current right-to-work in Singapore)

Key Responsibilities

  1. Risk Strategy Development

    • Design and optimize risk control algorithms using machine learning and historical data analysis.
    • Combat fraud and cheating through predictive modeling and real-time monitoring.
  2. Data Infrastructure

    • Build scalable batch/real-time data pipelines with Spark, Flink, and AWS Data Pipeline.
    • Architect cloud-based data solutions adhering to industry standards.
  3. Collaboration & Innovation

    • Partner with cross-functional teams (product, engineering, BI) to deploy data tools.
    • Enhance data integrity via validation frameworks and proactive issue resolution.

Qualifications

Essentials

Nice-to-Haves


Why Join OKX?

Perks & Benefits

👉 Apply now to shape the future of finance


FAQs

Q: Does OKX sponsor visas for this role?
A: No—applicants must already have the right to work in Singapore.

Q: What tech stack will I use daily?
A: Spark, Flink, AWS, SQL, and Python are core tools.

Q: How does OKX approach risk management?
A: Through hybrid strategies combining ML models, real-time data, and expert insights.


Core Keywords

  1. Data Engineering
  2. Risk Management
  3. Machine Learning
  4. Spark/Flink
  5. Blockchain Security
  6. AWS Data Pipeline
  7. Anti-Fraud Systems

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