A Quantitative Researcher will assist the trading teams in adding new aspects to existing strategies, build new trading strategies, and test/validate hypothesis made by traders. At this moment, we already have an extremely long pipeline of research ideas for existing strategies (ideas which are waiting for the right candidate to solve and should have big PnL implications).
As a Quantitative Researcher at iRage you will be involved in analysing market behaviour from both micro and macro perspective by:
Analysing hundreds of gigabytes of data to ascertain micro behavioural patterns (at the microsecond time frame) to explore potential opportunities and strategies
Building automated trading signals to drive decisions around strategy and its implementation.
Building engineering solutions to manage the complexity
Discovering and imitating the logic and thereby automating the process of setting the hundreds of parameters that traders do on a daily basis
Optimizing current trading strategies to improve the PnL
Developing mathematical models to solve difficult stochastic problems
Required Skill Set
Adept awareness of financial markets and fundamentals
Strong logical & quantitative aptitude
Strong educational background
Knack of problem solving and a high inclination for math problems