What you'll do
- 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 use
- Develop 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
Who you are
- 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
Tech stack
- C++
- Python
- Linux
- MapReduce
- Technical libraries, computing environments and academic research
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 founders. Work 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)
Team description
Become part of a team of the most talented developers, traders, and quants from top-tech universities (Olympiad winners)
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