Tradebook Quantitative Analyst Job
Tradebook Quantitative Analyst
Job Requisition Number: 38027
United States
New York - USA
The Role:
Bloomberg Tradebook LLC is looking to strengthen its Electronic Trading Research Strategy group. We are looking to hire one quantitative analyst specializing in algorithmic trading. This candidate 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.)
- Strong and proven communication skills
- Experience liaising with clients
-Three years minimum practical work experience with the below:
-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 CEB/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 plus
The Company:
Bloomberg Tradebook is a leading agency broker that partners with both the buy-side and sell-side to provide high-quality liquidity, market insight, and customized solutions based on innovative technologies. Founded in 1996, Tradebook offers its customer base trading solutions for equities, futures, options, and foreign exchange (FX) to actively manage complex trading strategies in more than 100 global exchanges. We are a leading global agency broker that provides direct market access and a breadth of trading analytics and algorithms to institutional traders who seek maximum alpha on every market transaction.
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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