Our team oversees all the software build for our team in China. We want to bring the best FinTech practice and experience we gained globally to create the China specific modern Asset Management Platforms.
We are open to modern technologies. We use open-source, industry standards & cutting-edge technologies to deliver projects end to end, including planning, architecting, and coding.
We are highly sought after to tackle data- and analytically-intensive challenges and present them in intuitive and visually compelling ways.
We offer the opportunity to learn about the entire asset management process, such as portfolio construction, trading, risk management, directly work with key stakeholders on daily basis, and make meaningful impacts.
We work with professionals spanning across the globe, including but not limited to Shanghai, Hong Kong, Tokyo, Singapore, London, New York and San Francisco, and value open communication and eagerness to learn and share!
Responsibilities of this Role:
Contribute to the vision and strategy for our China's data architecture by developing a deep understanding of both the business needs and the inherent relationships among data
Design, implement and optimize data pipelines. Ensure smooth data flow and process. Monitor data quality.
Evaluate and choose database and data service technologies to fit business needs
Collaborate with team members in a multi-office, multi-country environment
Experience and Qualifications: (5+ year working experience in Data Architecture and Engineering)
Advanced knowledge and experience in designing, developing, and tuning for relational databases (e.g. Microsoft SQL server, Postgres)
Proficient in designing and developing data models
Proficient in ETL design and implementation
Proficient in SQL and Python
Experience using big data technologies such as Apache Hadoop, Cassandra
Knowledge in Financial asset data
Strong communication skills, proficient in both English and Mandarin
B.E. or M.S. degree in Computer Science, Engineering, or a related discipline
Nice to have:
Working knowledge of data technologies in cloud
Experience and knowledge of Data Science
Experience of data visualizations
Experience in Java, C#
Expertise in design and development of RESTful services and APIs
Experience in finance, investment, or portfolio management processes