Job Summary:
- Close collaboration with Quantitative Researchers and Portfolio Managers.
- Integrating new datasets.
- Deploying new trading signals.
- Creating portfolio optimization tools.
- Constructing data visualization frameworks.
- Refining our research platform.
- Optimizing existing code through effective numerical algorithms and cluster-computing approaches.
Qualifications:
- 5-7 years of professional experience in software engineering, with a preference for a focus on quantitative applications
- Advanced proficiency in Python and Pandas, along with competency in associated scientific libraries like NumPy, SciPy, statsmodels, and scikit-learn
- Track record in developing mission-critical production systems, with expertise in testing, monitoring, and deployment best practices
- Strong familiarity with Linux platforms and a solid grasp of Git fundamentals
- Working familiarity with one or more pertinent database technologies, such as MS SQL, Postgres, or MongoDB
- Demonstrated capability in handling large datasets, encompassing both structured and unstructured formats
