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)