Quantitative Software Engineer
Quantitative Software Engineer
About: Selby Jennings has partnered with the Quantitative Strategies team of an elite, multi-strategy hedge fund. This is a team of individuals coming from various backgrounds between big tech and the quant space. This is a full-time role in Boston (3 days per week on-site).
Qualifications:
- Bachelors (Master's or PhD preferred) in Computer Science, Math, Physics, or related field
- 6 years of professional experience (excluding internships) in Python and/or Java, including package development
- Experience with relational database management systems (PostgreSQL, MySQL, etc) and proficiency in writing SQL queries
- Experience in UNIX/Linux/BSD environments
Responsibilities:
- Work directly as a member of the Quantitative Development team, collaborating daily with other Quantitative Developers, Researchers, and Portfolio Managers.
- Develop quantitative infrastructure for alpha generation, portfolio construction, and algorithmic trading.
- Provide software contributions to evolve the Quantitative strategies platform and support daily alpha construction and trading
- Develop the proprietary trading system, data warehouse, service-based architecture, machine learning platforms, and simulation tooling.
- Work directly with traders and researchers to build new proprietary trading strategies and alphas.
- Parse and analyze new data sources such as exchange data, company fundamental data, or unstructured data.
- Design reporting and analysis tools for strategy risk, trade cost, and execution using data from a proprietary columnar database.
- Own the end-to-end design, implementation, and launch of software projects spanning the technical domains described above.
Value Added:
- Experience with Git
- Experience with KDB/Q
- Familiarity with popular machine learning/deep learning/statistical packages (such as sci-kit-learn, TensorFlow, PyTorch, etc.)
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