Mid-level Quantitative Researcher

The role: Generate and back test new trading ideas using mathematical and statistical analysis. Perform quantitative research and build new trading models. Develop, implement and run algorithmic trading strategies within existing trading framework. Participate in the improvement of in-house research/trading framework. Report directly to senior management. Requirements: PhD/Master's degree in Mathematics, Statistics, Computer Science or a similar quantitative discipline. At least 2 years within a front office position in a buy or sell side firm OR at least 2 years of relevant experience in academia. Be able to demonstrate understanding of trading strategy development cycle. Strong knowledge of statistics and data analysis. Experience in time series analysis strongly preferred. Strong knowledge of R, Matlab, Python or other high-level programming language is a must. Proficiency in Java/C/C++ or a similar programming language is a must. Familiarity with Unix systems strongly preferred. Excellent interpersonal and communication skills. English level - intermediate and higher. We offer: Challenging and exciting tasks. Working at the leading financial company with offices in four countries. Multicultural work environment where self-initiative is rewarded. Free lunch and office snacks. Competitive remuneration package. Career growth opportunity. Competitive salary and benefits.