Data Engineer for Quantitative Hedge Fund
16 hours ago
NLS is actively hiring a junior data engineer to join their expanding team in the field of quantitative hedge funds.
Key Responsibilities:- Develop and maintain software systems that facilitate trading activity, risk management, trade settlements, reconciliations, and operational activities.
- Design, implement, test, optimize, and troubleshoot Python data applications, frameworks, and services.
- Collaborate closely with front office quantitative researchers to deliver high-quality solutions.
- Acquire a deep understanding of data requirements for investment research teams to provide tailored solutions.
- Develop automated reporting and analytics tools to quickly identify and resolve operational issues.
- Ensure data quality and accuracy of back office data feeds and transaction processing systems.
- Lead production support operations during normal working hours and troubleshoot platform issues.
- Bachelor's degree in a STEM subject.
- Strong programming skills in Python for Data Engineering (databases, data integration, and visualization technologies).
- Familiarity with Linux and Shell scripting.
- Experience with Web frontend technologies is beneficial.
- Excellent analytical and problem-solving skills to diagnose and resolve operational issues.
- Ability to work independently and collaboratively in a dynamic environment.
- Strong verbal and written communication skills to explain technical concepts.
NLS is a leading provider of innovative solutions in the quantitative hedge fund industry.
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