Quantitative Developer
at Caxton Associates
Posted 18 hours ago
No clicks
- Compensation
- Not specified
- City
- London, New York City, Singapore, Dubai, Monte Carlo
- Country
- United Kingdom, United States, Singapore, United Arab Emirates
Currency: Not specified
Caxton Associates is hiring a Quantitative Developer to join the Quantitative Development & Data team to build and maintain quant libraries, scalable web services and front-end tools for portfolio managers and traders. The role involves developing Python libraries, designing ETLs and data solutions using SQL/no-SQL, C#, and Python, and delivering dashboards or Excel tools for market monitoring and risk management. You will work closely with quantitative analysts and trading staff across the firm’s global offices to support alpha generation and risk processes.
Description
About Caxton:
Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Monaco, Singapore and Dubai. Caxton Associates’ primary business is to manage client and proprietary capital through global macro hedge fund strategies. Assets are managed via a broad mandate to trade in a variety of global markets and instruments.
About the Role:
Caxton seeks a Quantitative Developer to join the firm’s Quantitative Development & Data team (QDD).
QDD is responsible for architecture and development of libraries, web services, dashboards, and databases that facilitate Portfolio Managers' alpha generation, strategy deployment, and risk management.
The team has presence in both London and New York. They work closely with the Quantitative Analytics Group as well as Trading Staff.
Responsibilities:
- Build and maintain quant libraries in Python.
- Build and maintain scalable web services for applications and front office users.
- Promote best coding practices within the firm.
- Build front end tools for market monitoring, trade screening and risk management. Front end tools can be either web dashboards or Excel tools backed by robust libraries or web services.
- Design and build data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation.
