Top Tech Jobs & Startup Jobs in London

The L/S Equities Data Engineer will collaborate with the investment team to connect fundamental research with technology, developing AI applications, quantitative insights, and tools to support investment strategies while utilizing various technologies and programming languages.

The Quantitative Researcher will conduct innovative research to identify systematic anomalies in macro markets. Responsibilities include feature engineering, modeling, strategy backtesting, and improving portfolio trading. The role demands a strong mathematical background and proficiency in data analysis.

As a Quantitative Researcher at Cubist, you will develop systematic trading models in FICC markets, manage research from idea generation to implementation, and enhance production environments. The role involves feature engineering and working with large data sets for intraday to daily trading strategies.

The role involves building tools and conducting in-depth analysis to identify trends and opportunities in credit markets. Responsibilities include developing RV screens, custom portfolio tracking systems, and data visualization tools to support market analysis and strategy research.

As a Canvas Fundamental Researcher, you will engage with private company executives to gain insights into industries and their operations. Your role involves synthesizing qualitative data into comprehensive reports, understanding market dynamics, and collaborating with investment professionals. You'll develop industry expertise and enhance your analytical skills in a fast-paced environment.

The Data Analyst at Cubist will support the data services group by identifying data sources, coordinating vendor processes, handling data requests, assisting with data management, and contributing to the organization of team activities. Responsibilities include monitoring automated data collection, maintaining data documentation, and providing user support.