Quantitative Software Engineer (Python/Java, SQL)

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 onsite).

Qualifications:

• Bachelors (Master's or PhD preferred) in Computer Science, Math, Physics, or related field
• At least 2 years of professional experience in Python and/or Java, including package development
• Experience with relational database management system (PostgreSQL, MySQL, etc) and proficiency in writing SQL queries
• Experience in UNIX/Linux/BSD environments

Responsibilities:

• Work directly as 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, including:
• 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.
• Provide high-level technical and investment support to the team.
• 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 scikit-learn, TensorFlow, PyTorch, etc.)