Role:- Build quantitative macro strategies, with workflows ranging from idea generation and data exploration to statistical analysis and model implementation Apply advanced modelling techniques and explore novel datasets. Work directly with a senior PM to research
Role :- Your core objective is to create high quality predictive signals By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities Share and discuss research results, methodology, data sets and
Role:- As a quantitative researcher you will be responsible for developing automated quant trading strategies using sophisticated statistical techniques. Your role will involve:- Statistical modelling of financial and non-financial datasets, examining real-world data. Delivering high quality
Role:- A key member of the team to invest in global event driven situations A role with the opportunities to grow book size and investment universe (including globally) with demonstrated performance Risk thresholds will commensurate with
Role :- Your role will involve working with other quantitative analysts to deliver high quality systematic strategies in production . You will implement signals and relevant datasets within the global execution platform. You will monitor signal
Role:- The main part of your role will be focused on short-term realization and execution (intraday). Your core objective is to research and implement alphas leveraging the technology and tools from the company Secondary objective will
Role:- Working alongside the PM on developing systematic trading strategies, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies with a focus on Asian market statistical
Role:- A key member of the development team, building and enhancing key components for the systematic desk. A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
Role:- Perform statistical analysis of historical and current financial market data Process large datasets to detect hidden signals and patterns in order to predict future events Devise and improve pricing models with use of sophisticated statistics