L/S Equity Fund looking for a Python Quant Developer for a growing team.
Responsibilities:
· Build and integrate bespoke datasets and analytical modules that will create a centralized infrastructure for risk, performance, investing, and trading systems.
· Contribute to the development and maintenance of a best in class risk system, including the development of proprietary tools as well as integration with vendor data and systems
· Implement a performance analytics system for the investment teams
· Work with the investment teams to produce custom quantitative analysis, reporting, backtesting and screening tools
· Partner with the trading desk to build out an infrastructure for systematic execution, real time risk management tools, transaction cost and liquidity analysis (pre and post trade)
· Research new technologies and effectively integrate within the existing environment
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