Quant Analyst Trading

The successful candidate, as part of the Trade Strategy Team, will analyze tick level global market data and grow into a domain expert by building advanced analytics on top of market and the firm's execution data. This individual will carry out quantitative research on trading strategies and best execution, making recommendations to portfolio managers and traders to improve workflows and reduce trading costs. The strategist will also be involved in evaluating existing and building new expected costs models and integrating it into portfolio construction process.

Key Responsibilities:

Analyze and maintain tick market data and the firm's trade execution data

• Develop advanced pre- and post-trade analytics and short-term market forecasting metrics
• Research optimal trading and routing strategies and implement them into out trading processes
• Integrate transaction cost analytics into portfolio construction processes
• Develop machine learning capabilities and apply them to predict costs and beyond

Required Skills and Characteristics:

Bachelor's or Master's degree in a Computer Science, Math, Engineering or Data Science • Programming proficiency in Python and SQL required; KDB+/Q is a plus

• Experience working with large data sets in Python/Pandas
• Strong math, statistics, and data analysis skills
• Experience with Newport EMS and Blackrock Aladdin OMS is a plus