A leading global, systematic trading firm is seeking a talented Quantitative Developer. This data-driven group combines data, research, technology, and trading expertise to inform their trading decisions. The collaborative mindset of the team enables them to solve complex challenges and continuously drive innovation to deliver high-quality returns for investors.
The successful candidate will:
* Develop ETL pipelines to integrate and test very large alternative datasets.
* Architect, deploy, and manage cloud-based systems for storing and exploring very large datasets.
* Monitor, support, debug, and extend existing trading and research infrastructure.
Required Skills and Experience:
* Proficiency in Python, particularly with numerical libraries such as numpy, pandas, and matplotlib.
* Basic knowledge of AWS.
* Basic knowledge of databases (e.g., SQL).
* Familiarity with development practices such as version control with Git and unit testing.
* Strong team player with a collaborative attitude.
Nice to Have:
* Experience creating dashboards or using data visualization software (e.g., Tableau, Dash).
* In-depth AWS experience (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
* Advanced database knowledge (query optimization, relational vs non-relational databases, etc.).
* Experience with parallel computation.
* Experience with geographic data using geopandas and xarray.
* Financial knowledge is a plus but not required.
Why Join?
* Be part of a team at the forefront of quantitative and systematic investing.
* Work in a dynamic and collaborative environment.
* Opportunity to work on cutting-edge technology and innovative projects.
* Competitive compensation and benefits package.
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.
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