Quantitative Developer
4 days ago
My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.
The Role:
- You will be working within a trading desk (in opposition to core roles) building analysis tools and infrastructure used by the desk to aide investment decisions, which means that your contribution will have a direct and immediate impact on the desk's success.
- Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders.
- A role with the potential to touch many aspects of Event Driven trading. They use index data, M&A data, risk models and other event-driven data from a variety of sources, data management (various data sources and thousands of dimensions to handle), and analytics infrastructure.
- Opportunities to solve hard technical challenges critical to the desk's success.
- Excellent knowledge and experience using latest Python libraries: numpy, pandas, polars, dask, etc.
- Good knowledge of SQL and relational databases.
- Good understanding of what is happening behind the abstractions - be it CPU, memory, OS, network, etc.
- Ability, and willingness to take full ownership of the work - taking projects all the way from an idea to a delivered solution.
- Good communication skills in a dynamic environment.
- 0-2+ years of experience in a quantitative trading environment desirable.
- Knowledge of financial markets trading is a plus.
If this sounds like you or you'd like to know more, please get in touch:
Ryan Quinn
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