About the company
About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.
Job Summary
What You’ll Be Doing:
📍Lead and work on a large and complex data platform with a particular focus on high-frequency time-series data, real-time analytics and historical data access 📍Own and work on projects and components across the data pipeline – capturing, cleaning, monitoring, warehousing, analysing and providing API 📍Apply strong analytical and technical skills in analysis, cleaning, modelling and visualization of large datasets 📍Closely partner with various teams of trader, quant research and quant developer 📍Be creative and be able to identify technical gap and improve workflow efficiency, coverage and quality of our solution
What We Look For In You:
📍Solid STEM (Science/Technology/Engineering/Mathematics) education background. 📍Strong knowledge of programming in Java and/or Python 📍Strong experience in SQL and/or NoSQL database system 📍Experience in middleware (e.g. kafka) and data frameworks (e.g. flink, spark, hive) 📍Experience working in a POSIX environment 📍(Nice to have) Experience with crypto and/or financial products 📍(Nice to have) Experience in dealing with intraday, tick or order book data 📍Experience in on-chain data capturing and analysis 📍(Nice to have) Experience in performing data analysis in data-frames, Pandas/R/Spark/Arrow 📍(Nice to have) Experience working with systematic trading or high frequency trading.
