- Engineering team is looking for a talented Quantitative Developer to join our team.
- Engineering team primarily employs quantitative methods in a systematic framework to drive portfolios. The quality of software, the rigour of code and data management are fundamental to business s success.
- In this role you will own and drive data requirements of the team, as well as contribute to python code base. Close daily collaboration required with research, portfolio management team and IT.
- Creating schemas and deploying databases
- Writing queries and stored procedures for reading and writing to a database
- Understanding of permissions and security requirements within database context
- Writing wrappers around data APIs
- Cleaning and enriching data
Key responsibilities include:
- Contribute actively to the development, testing and deployment of the core software product written in python that drives quantitative and discretionary capabilities of Currency Solutions business
- Database management, implementing, managing and optimising data storage solutions
- Contributing and taking ownership of ETL (Extract, Transform, Load) processes to clean, enrich and prepare data for analysis, reporting and visualisation
- Automation of processes, both ad-hoc and routine on desk and on cloud
- Documentation of code, processes, releases and configurations
- Linking quantitative researchers and analysts with the wider technology team to enable new research to be conducted in an agile and scalable manner adhering to best practices of Insight Investment tech stack.
- To be successful in this role, we re seeking the following:
- Bachelor s degree in Computer Science, Data Engineering or similar field. Master s degree is a plus
- 2 - 6 years experience in similar roles, in finance is a plus, but not required
- Relevant industry experience in Python development, including expertise in areas such as:
- fluency with industry-standard packages (including Pandas, Numba, Sqlalchemy)
- CI/CD pipelines with cloud deployment with focus on python
- Integration of SQL / Rest APIs / websockets within the code
- Designing and writing unit tests, integration tests, regression tests using pytest
- Writing clean documented code that passes mypy, bandit, pep8Strong Data Experience
- Experience in building web applications on top of Python (any of React, Dash, Streamlit, FastAPI) - would be highly advantageous
- Experience with big data technologies - advantageous
- Knowledge of basic finance - preferred but not mandatory
- Be accurate and highly detail orientated
- Demonstrate a self-starter attitude and strong ownership ethic
- Be a team player, expected to help with raising skill level in the team where appropriate.
