Cross Asset Quant / London/ $ Base + Sign On

Role:-

Independently conduct quantitative finance research with a focus on statistical and predictive models.

Manage all aspects of the research process, including methodology selection, data collection and analysis, prototyping, back-testing, and performance monitoring

Design, backtest, and implement algorithms for optimal portfolio construction

Risk modelling

Liquidity and transaction cost modelling

Evaluate new datasets for alpha potential

Contribute to the continuous improvement of the investment process and the team's research and trading infrastructure

Requirements:-

MS or PhD in finance, computer science, mathematics, physics, or other quantitative discipline

2+ years of experience developing short term alpha signals (intraday) for equities, futures, and/or FX

Programming experience in any of the following: C++, MATLAB, Python

Strong analytical and quantitative skills

Demonstrated ability to conduct independent research utilizing large data sets

Detail-oriented

Willing to take ownership of his/her work, working both independently and within a small team