DV Trading · Hong Kong
Skills: Python, SQL
About Us : Founded two decades ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people across North America, Europe and Asia. Since becoming an independent proprietary trading firm in 2016, DV Trading has scaled rapidly using its own capital, strategies and risk management to provide liquidity to markets worldwide. DV Group affiliates today include two broker-dealers, a cryptocurrency market maker and a growing investment adviser. DV Equities is the group's Asia-Pacific equities and futures market-making business, trading cash equities, ETFs, index futures and related products on exchanges across the region. Overview: We are looking for a Data Engineer to build and maintain the data infrastructure that powers our trading, research, and risk systems. You will work closely with quantitative researchers, traders, and software engineers to ensure that large-scale market data is clean, reliable, and easily accessible for both real-time trading and historical analysis. This is a hands-on role for someone who enjoys solving data problems in a fast-paced, collaborative environment. Responsibilities: Design, build, and maintain scalable data pipelines for ingesting, processing, and storing large volumes of market and trading data Clean, validate, and enrich raw data to ensure high quality and consistency for research and production use Optimize data storage, query performance, and processing workflows to support low-latency and high-throughput requirements Collaborate with quantitative researchers and traders to understand data needs and deliver efficient data solutions Work with software engineers to integrate data pipelines into the firm's trading and research infrastructure Monitor data quality and pipeline health, troubleshoot issues, and implement improvements Document data flows, schemas, and processes to support team collaboration and knowledge sharing Requirements: Bachelor's or Master's degree in Computer Science,…
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