Software Developer, Data Quality
2 months ago
Global hedge fund
Location: Hong Kong, London, Montreal, Singapore (hybrid)
Relocation assistance: Available
Compensation: Competitive salary + bonus + benefits
MPA has been retained by a global investment management firm to recruit Software Developers with KDB+/Q experience to join their Data Services team. This technology-driven firm develops quantitative investment strategies to achieve high-quality returns across global financial markets.
The Data Development group manages the lifecycle of data used by investment for trading, back testing, and research. They work with quants and tech teams to integrate, process, and serve data from vendors and public sources in the firm’s data infrastructure (alpha data and cross-asset referential data).
You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity of thought and creative solutions are valued.
Reference Data Services teams work closely with portfolio managers to design, implement, test, and maintain service-oriented database architecture for research and production. There is a strong operational component to the role, as they act as level 2+ support for these services during live trading.
Position Overview:- Acquire a deep understanding of the data requirements of investment research teams to deliver the right solutions.
- Design, implement, test, optimize, and troubleshoot kdb+/q data pipelines, frameworks, and services.
- Work closely with data operations and data platform developers to improve our data platform and reduce our technical debt.
- Collaborate with and influence technologists and investment researchers to ensure our reference data services meet constantly evolving requirements.
- Write and review technical documents, such as requirements docs for researchers, design docs to propose new platform solutions, and production support runbooks.
- Bachelor's degree in a STEM subject.
- 2+ years designing, testing, optimizing, and troubleshooting data-intensive applications.
- Experience analyzing and organizing financial data.
- Experience with any of these: SQL, JavaScript, TypeScript, React, C++, KDB+/Q, Rust.
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