Bloomberg Tradebook Quantitative Analyst, USA-NY-New York City
Bloomberg Tradebook Quantitative Analyst
Company:
Bloomberg
Location:
USA-NY-New York City
Remuneration:
£0-40000
Position Type:
Permanent
Employment type:
Full time
Updated:
17 Nov 2009
eFC Ref no:
558672
We are looking to hire quantitative analysts, specializing in algorithmic trading
The Company BLOOMBERG TRADEBOOK is a global electronic agency brokerage used by institutional investors to trade in the Equity, FX, Futures and Options markets. Established in 1996, BLOOMBERG TRADEBOOK, provides clients with the innovative trading tools to help them seek better executions. It offers an anonymous trading platform that includes specialized trading and straight- through processing tools, as well as BLOOMBERG PROFESSIONAL news, data and analytics - all in one integrated solution over a single platform.
The Role Bloomberg Tradebook LLC is looking to strengthen its Electronic Trading Research & Strategy group. We are looking to hire two quantitative analysts specializing in algorithmic trading. These candidates will be instrumental in helping design the algorithms, backtest new strategies and test new ideas. The candidate will also work closely with sales and developers to bring the best ideas to market.
Qualifications -Masters or PhD in a technical field (e.g., Physics, Math, Statistics, Financial Engineering, etc.) -Understanding of global equity microstructure -Knowledge of dark liquidity -Experience in algorithmic trading, blackbox trading or market analysis -Experience working with large datasets -Programming in Matlab or another statistical program -Programming in C, C++ or another programming language -Database experience -Financial modeling experience -Knowledge of options, FX, futures a plus -Product/Project Management experience a plus -Experience writing in trade journals/publications a plus
Bloomberg is an equal opportunity/affirmative action employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law.
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