Job DescriptionWe are a leading global hedge fund and we are looking for a Quantitative Developer to work closely with PMs and researchers, with a focus on alternative data. The ideal candidate will thrive in direct business interactions, prioritize delivery, and excel under pressure.
The areas you will be responsible for include: data platform development, data infrastructure solutions, development support for researchers, and maintenance of data flows. You will collaborate closely with the wider technology teams, traders, analysts, and other stakeholders to ensure the delivery of timely, clean and validated data on a daily basis.
Responsibilities:
- Develop a resilient, transparent, and flexible data platform.
- Design and implement high-performing and robust library of re-usable tools for utilization in research process.
- Monitor and maintain integrity of data flows (raw and derived) to ensure that researchers get access to timely, clean and validated data on a daily basis.
- Liaise with the data engineering team to on-board and modify QM data sources.
- Ensure proper knowledge management within the team including sharing of data, key analysis, insights and re-useable code.
- Develop high-performing and robust text data (as well as numerical) processing algorithms.
Requirements:
- 1-4 years of professional software engineering experience.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Exceptional problem-solving skills, quick learning ability and focus on process.
- Ability to interact with and influence various stakeholders of different tenure and levels of expertise.
- Demonstrable fluency in one compiled language (e.g. C#, C++), one research language (e.g. python, Matlab, R), and one database language (e.g. SQL, KDB+/Q).
- Experience with cloud, container and micro service infrastructures (e.g., Kubernetes, Docker, Helm, AWS, GCP).