Data Engineer (Risk)

Who We Are

At OKX, we are pioneers in technology, shaping the future through innovation in digital assets, Web3, and blockchain ecosystems. Our mission is to revolutionize the global financial landscape by offering advanced products and solutions to over 50 million users worldwide in 180 countries, empowering everyone to embrace the world of Web3. With a diverse range of groundbreaking products and services, we are dedicated to driving innovation and fostering a world of financial access through blockchain and decentralized finance.

Our forward-thinking approach extends beyond our products; we are committed to social responsibility, actively engaging in public welfare initiatives and promoting diversity and inclusion among our 3,000+ global employees. Join us in shaping the future!

About the Role

The OKX data team oversees the entire data sphere of OKG, spanning from technical selection and architecture design to data ingestion, storage, ETL, visualization, business intelligence, and data science. As part of the data engineering team, you will collaborate to harness data technologies for evidence-based decision-making and enhance the quality of our products and services.

Responsibilities

• Develop and optimize risk control and security strategies through data analysis and mining to combat misuse, fraud, and cheating.
• Create resilient data pipelines for both batch and real-time streaming datasets.
• Design and implement cloud-based data infrastructure using industry-standard tools.
• Collaborate with cross-functional teams to build scalable, data-driven platforms and tools.
• Ensure data accuracy, integrity, and scalability through adherence to data standards, robust monitoring, and proactive issue resolution.
• Identify opportunities to enhance products and services through data insights and testing.

Qualifications

• Minimum 3 years of experience in Risk, Anti-fraud, and Anti-cheating roles.
• Proficiency in Machine Learning, Data Mining, and Risk strategies.
• Experience with data processing tools like Spark and Flink.
• Strong SQL skills with knowledge of advanced SQL/FlinkSQL features.
• Proficiency in programming languages such as Python, Java, and familiarity with Hive-SQL.
• Self-motivated, collaborative, and innovative with excellent communication skills.

Preferred Qualifications

• Familiarity with Alicloud Data Engineering processes.
• Knowledge of Deep Learning, CV/NLP, and Graph applications.

Perks and Benefits

• Competitive compensation package.
• Learning & development programs, Education support.
• Team-building activities and company events.
• Comprehensive wellness benefits.
• Healthcare coverage for employees and dependents.