#Succeedingtogether

We have an opportunity for a Quant Developer to join a leading, global systematic hedge fund. In this team Index Rebal team, you will be working on the core trading engine, helping to develop, maintain and improve it and design and implement trade automation systems. Surrounding yourself with experts, they aim for the highest standards and are seeking individuals who can add to this. ​ Applicants will be required to have a degree in Computer Science, Mathematics, Physics, Engineering coupled with strong programming skills in Python and their requisite libraries. In addition, a solid understanding of quantitative financial market and trading is a must. If youre interested, please apply now

​We are seeking a talented Quantitative Developer to join a successful systematic equities pod that focuses on fully systematic, mid0-frequency Global Equities & Futures strategies with the team spanning across London and Dubai. ​ Key responsibilities: Develop data engineering prediction tools & maintain robust data pipelines Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team Build and maintain robust data pipelines and databases that ingest and transform large amounts of data Develop processes that validate the integrity of the data ​ About you: Strong Python & KDB+ programming experience Experience building research or trading systems, back testing / simulation system, data engineering Strong academic background with MSc / PhD (Physics, Mathematics, Statistics, Computer Science) ​

​We are seeking a talented Market Data Analyst to join a leading quantitative hedge fund, supporting the global head of market data and the Head of Market Data - APAC. You'll be responsible for contract management, maintaining accurate information, leading vendor relations, obtaining regulatory requirements, monitoring exchange websites of changes and preparing audits. About you: 4-6 years’ experience working with market data, either at analyst level or equivalent. Experience working with exchanges e.g. LSE, NYSE, Nasdaq, Bloomberg, FactSet, Refinitiv, etc. Experience of permissioning systems such as DACS and EMRS. Experienced working knowledge of reference data, market data and index data with a specific focus on non-display usage. Ability to analyse and interpret large datasets, predominantly in excel and to present the data in a meaningful manner.