Senior Quantitative Resercher
In the quant team, we tackle a wide range of interesting and complex tasks to enhance the effectiveness of current strategies and develop fundamentally new ones.
To solve these tasks, we leverage the strong expertise of our team in various fields, including probability theory and statistics, econometrics, algorithms, classical and deep machine learning.
Our core principle is collaborative work. We have a highly flexible structure with no rigid divisions.
To solve these tasks, we leverage the strong expertise of our team in various fields, including probability theory and statistics, econometrics, algorithms, classical and deep machine learning.
Our core principle is collaborative work. We have a highly flexible structure with no rigid divisions.
- Student/graduate in mathematics/physics/computer science
- Knowledge/experience in ML/DL
- One year or more of HFT experience or substantial research experience
- Strong knowledge of probability theory, statistics, and algorithms
- Proficiency in various Python libraries for data work
REQUIREMENTS
NICE TO HAVE
- Success in mathematics/informatics/physics Olympiads
- Achievements on Codeforces/Kaggle
- Proficiency in C++
In your application message, please write the role you are applying for, attach your CV, and link to your LinkedIn account
(if you have one)
This position is open to individuals with significant relevant experience or substantial experience in a similar role in HFT (High-Frequency Trading). It involves working in a team and a high level of autonomy in hypothesis testing, generating promising ideas, discussing team research ideas and directions, as well as strong critical thinking and intuition for their evaluation.
