55ip is looking for a quantitative professional to research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory (RIA) & wealth management firms.
Requirements
- Proficient in Python, Git and Jira
- Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus
- Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.
- An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)
- Experience in direct-indexing products is a big plus
- Knowledgeable in SQL
Responsibilities
- The end-to-end research, development, and maintenance of investment algorithms
- Contribute to development and maintenance of optimization models
- Take part in building out the research and development framework
- Thoroughly vet investment algorithmic results
- Contribute to the research data platform design
- Investigate datasets for use in new or existing algorithms
- Develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live
Other
- The ideal candidate has a background in optimization and statistical modules using software design constructs and tools.
- The candidate will be motivated, a problem solver, and an effective team player looking to make a significant impact in supporting research projects and who can grow as an independent researcher.
- Participate in agile practices
- Liaise with stakeholders to gather & understand the functional requirements
- Strong communication (written and oral) and analytical problem-solving skills
