Senior Quantitative Software Engineer (Python, 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 on-site).Qualifications:Bachelors (Master's or PhD preferred) in Computer Science, Math, Physics, or related field6 years of professional experience (excluding internships) in Python and/or Java, including package developmentExperience with relational database management systems (PostgreSQL, MySQL, etc) and proficiency in writing SQL queriesExperience in UNIX/Linux/BSD environmentsResponsibilities: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 tradingDevelop 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 GitExperience with KDB/QFamiliarity with popular machine learning/deep learning/statistical packages (such as sci-kit-learn, TensorFlow, PyTorch, etc.)Discipline(s): Financial TechnologyJob type: Permanent