OKX is hiring a Web3 Data Engineer (Risk)
Compensation: $103k - $117k estimated
Location: Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.
We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!
About the Opportunity
OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
What You’ll Be Doing
- Based on historical data and expert experience, design and continuously optimize risk control and security strategies for preventing misuse, fraud, and cheating through data analysis and data mining.
- Design and build resilient and efficient data pipelines for both batch and real-time streaming data
- Architect and design data infrastructure on cloud using industry standard tools
- Execute projects with an Agile mindset
- Build software frameworks to solve data problems at scale
- Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools
- Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent issues and quickly identify issues. Drive resolution on the issues.
- Define, understand, and test external/internal opportunities to improve our products and services.
What We Look For In You
- Minimum 3 years of Risk, Anti-fraud, Anti-cheat
- Solid experience with Machine Learning, Data Mining, Risk strategy, Risk model, and can utilize them to solve risk issues
- Experience with data processing tools such as Spark, Flink
- Proficiency in SQL, familiar with advanced SQL/FlinkSQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions.
- Familiar with AWS Data Pipeline
- Solid experience in programming languages such as Hive-SQL, Python, Java, Spark, Shell
- Self-driven, innovative, collaborative, with good communication and presentation skills
Nice to Haves
- Familiar with Alicloud Data Engineering process
- Familiar with Deep Learning, CV / NLP, Graph
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances [delete for remote roles]
- Comprehensive healthcare schemes for employees and dependants [delete for remote roles]
- More that we love to tell you along the process!
Apply Now:
This job is closed
Compensation: $103k - $117k estimated
Location: Singapore
This job is closed
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