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The group has had tremendous success in the past few years and has steadily improved the team with some of the most talented traders and quants in the market. The role will involve working in a team based environment to research and back test trading high frequency equity strategies and algorithms. This is an opportunity to work within an integrated team of quantitative traders and make an immediate contribution to the trading effort.
The role will involve:-
Developing , modifying, optimizing, testing and implementing real time quantitative trading strategies and risk models.
Handling all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, performance monitoring and backtesting.
2 plus years experience in research and deploying profitable equity focused statistical arbitrage strategies.
In order to apply for the role you must been experience within:-
- Statistical Arbitrage Trading
- Quantitative Equity Trading
- Back-testing trading strategies.
- Researching, modelling & implementing fundamental and technical based strategies
- Creating/implementing low to mid frequency equity strategy.
- Signal generation.
Ability to explain what and why you are currently doing; understand conclusions.
MSc/PhD from a top Institution in a very quantitative focused thesis: Applied Mathematics, Physics, Statistics and Probability (Ranked as top 20% in class for bachelor's degree) Preferred : specific schools/universities in France (X, Centrale, Mines, Ponts, Master in Probablility in Paris 6/7, ENSAE, research labs in physics)
An applied research experience in Mathematics, Physics, Statistics showing a strong working knowledge of analyzing/calibrating models on bid data sets and programming (C++, C#, R, SPlus)
French speaker. Ideally based in Paris already or strong motivation to be based in Paris.
Please send a Word CV to Tina Kaul at firstname.lastname@example.org