Job Opportunities API

We are primarily looking for a skilled Quantitative Analyst who has experience with algorithmic trading strategies, understands how to tweak the algorithms and research how the strategies perform etc. We will trust you:  Apply a rigorous scientific method, advanced mathematical and statistical methods to develop sophisticated trading model Perform alpha research, execution research and models performance optimization as part of Quant team Develop, augment and calibrate back test simulations for trading teams to useDevelop quantitative tools and libraries to aid the strategy development process Build and continuously improve upon mathematical models, translate algorithms into code (С++) and implement new trading models and signals in live trading environment (Linux) Stay up to date with state-of-the-art technologies and tools including technical libraries, computing environments and academic research We are looking for:  Advanced Degree from top-tier university (i.e. Mathematics, Physics, Computer Science, etc.) as well as similar experience in the field of Quantitative Finance Excellent knowledge of probability and statistics, including experimental design, predictive modeling, optimization and inference Solid understanding of fundamentals, workflows and how to deal with large data sets for analytical approach and quantitative methods Strong analytical skills and experience with distributed computing and translating mathematical models and algorithms into code (C++, Python, Linux, MapReduce) Highly proficient in Math, algorithms and personal achievements in any quantitative field or competition (Codeforces, olympiads, academic competitions, etc.) Strong interpersonal skills, ability to manage multiple tasks and thrive in a fast-paced team environment What we offer: Good salary and great bonuses which depend on your results Impact the business/p&l directly Opportunity to collaborate directly with the foundersWork for a fast growing company with low staff turnover Become part of a team of the most talented developers, traders, and quants from top-tech universities (Olympiad winners)