The Firm:
We are working with one of the leading European hedge fund managers with over $20 Bn AUM to expand their Hong Kong Data engineering team. They have presence across EMEA, North America and in APAC.
This team will be helping with designing, implementing the data platform from pipeline and repository - data ingestion, curation, preparation and access required for alpha research & generation, analytics & reporting. The team works with quantitative portfolio managers and researchers in a fast-paced environment. We are looking at strong engineer with knowledge in financial data including security master, time series (pricing data, etc.) across multiple asset classes, have solid python/SQL skills, and experience working with large data sets.
Duties:
- Design, implement and improving data platform including pipeline, repository, data warehouse and data access APIs,
- Automate and support the ETL process from various market data vendors and internal operational data stores.
Background:
- 3+ years of Python experience
- Experience of database concepts with proficiency in SQL and stored procedures. Knowledge of noSQL databases and big data technologies
- Experience working with cloud or on prem technologies and data infrastructure (workflow management engines, databases, storage & file systems, analytics platforms)
- Knowledge of financial data (security master, tick & bars pricing data, etc.), a plus with experience in Bloomberg, Refinitiv etc.
- Experience in processing large and complex datasets
- Excellent communication and interpersonal skills
- BS in Computer Science, or related discipline
Bonus:
- Worked with real-time data pipelines, data quality and validation.
- Experience using Kafka
- Programming in Java/C++/KDB or similar high performance time series processing technology
