Job Description
Responsibilities
- Analyze order execution on several exchanges using the database.
- Test hypotheses related to execution delays on several exchanges.
- Improve understanding of exchange mechanics and order execution.
- Conduct load testing along with other ways of hypotheses validation.
Requirements
- STEM degree from one of top-tier universities OR proven track of success as Data Analyst/Researcher/Data Scientist.
- Advanced understanding of probability, statistics, math and algorithms.
- Strong analytical skills for working with large datasets.
- Confident, hands-on level of Python and common libraries (pandas, polars, etc).
- Deep understanding of basic Research pipeline along with readiness to present the results to the team.
Nice to Have
- Personal achievements such as ICPC, IMC, IOI, codeforces red+, Kaggle, etc.
- Published articles in a field of Data Science (Q1-Q2).
- Pet-projects or open-source repositories dedicated to trading, finance or quantitative field.
Benefits
- Result-oriented bonuses along with extraordinary salary.
- Transparent processes and lack of red-tape.
- Competitive environment with an opportunity to make decisions and change the company.
- One of the best level of expertise on the market.
Who You Are
You are a motivated individual with strong analytical skills, a solid understanding of data science principles, and a passion for research in the finance and trading sectors.
Tech Stack
Python, pandas, polars, and other common libraries for data analysis.
Team Description
You will be part of a dynamic team focused on deep research and analysis, working collaboratively to enhance understanding of exchange mechanics and improve execution strategies.
