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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:
Engineer large timeseries and data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation
Build and maintain quant libraries in Python
Architect and build 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
Requirements
7+ years of relevant experience
Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering)
Excellent quantitative reasoning and software design
Strong Python skills
Demonstrated experience with high-efficiency programming and multi-threading
Clear grasp of SQL and relational database fundamentals
Ability to multitask and produce high quality code
Strong verbal and written communication skills
Operates with the highest degree of ethics and integrity