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Data Engineering Specialist
2 months ago
Eka Finance is seeking a highly skilled Quantitative Developer to join our team. As a Quantitative Developer, you will play a critical role in the implementation of technology to enable large-scale computational efforts in quantitative research.
Key Responsibilities- Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities.
- Develop software engineering solutions for quantitative research and trading.
- Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team.
- Build and maintain robust data pipelines and databases that ingest and transform large amounts of data.
- Develop processes that validate the integrity of the data.
- Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks).
- Master's or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background.
- Expert in C++.
- Advanced programming skills in Python.
- Strong Linux-based development.
- Knowledge of machine learning and statistical techniques and related libraries.
- Experience as a quantitative developer supporting an intraday (or faster) system (3 years experience at least).
- Experience with the development practices of large tech (Google/Meta, etc.) or finance firms.
- Experience with financial data.
- Approx. 3-4 years of professional experience in a computer science/computational role.
- Experience working in a technical environment with DevOps functions (Google Cloud, Airflow, Influx DB, Grafana).
Eka Finance is a leading financial institution that provides innovative solutions for the financial industry. We are committed to excellence and innovation in all aspects of our business.
