Team Profile: This is a small team in Morgan Stanley Algorithmic Trading Services with presence in New York, London, and Hong Kong. The team works closely with business to create trading strategies for clients that optimize execution costs by utilizing systematic, evidence-based approaches, generating ideas, running experiments to verify them, and then put them in action. Team members come from varied backgrounds of finance, econometrics, statistics, mathematics, computer science and data analysis, with many versed in multiple areas.

Role: This position is for a trading systems engineer, primarily coding in Java with some data analysis in KDB/Jupyter notebook. The candidate will design, develop, test, and deploy new strategies and features in production taking responsibility for full software lifecycle. They will monitor trades and do historical analysis for performance improvements and reducing execution costs. They will interact with business extensively, discussing ideas, explaining trading behavior and seeing direct impact of their improvements in production. The work involves a mix of quantitative analysis, idea generation and development of trading algos making it challenging as well as interesting.Required Skills:
> Electronic Trading system/Algorithmic Trading system experience
> Excellent communication and problem solving skills
> Strong technical background in software development
> Experience developing Java (preferred) trading applications
> Scripting Perl/Python

Desired Skills:
> Understanding of US markets/Interest in trading
> KDB/Jupyter Notebook/Data analysis
> Knowledge of FIX protocol