Senior Quantitative Developer
1 month ago
About: Selby Jennings has partnered with a long-tenured Private Asset Manager in Boston that is looking to bring on a Quantitative Developer to partner with multiple systematic investing teams. The team is currently in the midst of a large-scale migration. After that, you will help build new data processing and quantitative tools using Python and a cloud-native, state of the art scalable-computing platform. Additionally, you will work closely with Researchers and Portfolio Managers and focus on all aspects of the research and production code that support the team’s investment processes from model building to portfolio construction.
Qualifications:
- Bachelor’s or equivalent college degree required (Advanced degree in computer-science, data-science, engineering, math, or science preferred)
- 5+ YOE in Python, including package development, with at least 7 years of overall software development experience
- Experience with SQL queries and database development (with relational databases is preferred
- Experience with git is strongly preferred)
- Familiarity with statistics and experience working with optimization libraries (open-source optimization libraries like cvxpy, commercial solvers like Gurobi)
Value Added:
- MATLAB experience
- Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker
- Experience using cloud-based large data platforms such as Databricks, Synapse, Data Lakehouse
Responsibilities:
- Support existing research platform and strategy/portfolio applications by developing, enhancing, testing, and deploying production model code.
- Work closely with researchers and investment professionals to provide operational support for running quant models.
- Assist in migrating code to a new Python-based quantitative research platform. Suggest modern architectures by partnering with other Technology Team members to ascertain the best end-to-end solution.
- Utilize industry standard best practices for software design and implementation, lead internal code review processes, provide code analysis, and proactively identify software risks.
- Design and develop efficient end-to-end data and analytical solutions that support internal business requirements, using a Python stack.
- Actively participate in Python/new platform working groups and engage in agile/scrum activities.
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