eFinancialCareers

• Company

  Bloomberg

• Location

  USA-NY-New York City

• Compensation

  £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.