Data Scientist / Quantitative Analyst | Limassol, Cyprus (On-Site)
Experience
We're looking for a Data Scientist / Quantitative Analyst to join a growing trading team and contribute to the development of algorithmic trading strategies. This role focuses on analyzing financial markets, building statistical models, and developing profitable trading algorithms.
Benefits
Full-time, on-site in Limassol, Cyprus (or willing to relocate).
Salary
Competitive (based on experience).
You will join a European-licensed investment firm specializing in traditional brokerage, portfolio management services, and proprietary trading. The company brings together experienced professionals in wealth management, compliance, and quantitative research to develop innovative financial technologies and trading strategies. As a Data Scientist / Quantitative Analyst, you will work closely with developers, researchers, and traders to research market inefficiencies, test hypotheses, and build trading systems that operate in live markets.
About the company and the project:
Your tasks
Research, develop, and implement quantitative trading strategies. Test and deploy statistical models, algorithms, and trading signals in an active trading environment.
Conduct data mining and statistical analysis to identify market inefficiencies. Perform in-depth research to build and improve trading systems.
Analyze large datasets and extract insights for trading strategy development. Present research results through reports, visualizations, and presentations for the team.
Collaborate with team members on quantitative research projects. Technology Stack: Development (Python, Scala, Rust), Infrastructure (Linux, Docker, Kubernetes, Cloud Providers), Databases (ClickHouse, PostgreSQL).
Conduct data mining and statistical analysis to identify market inefficiencies. Perform in-depth research to build and improve trading systems.
Analyze large datasets and extract insights for trading strategy development. Present research results through reports, visualizations, and presentations for the team.
Collaborate with team members on quantitative research projects. Technology Stack: Development (Python, Scala, Rust), Infrastructure (Linux, Docker, Kubernetes, Cloud Providers), Databases (ClickHouse, PostgreSQL).
Advantages
Requirements
Higher education in statistics, mathematics, econometrics, or computer science. At least 3 years of experience as a Data Scientist / Quantitative Analyst in a fintech or trading-related environment.
Experience conducting data research with real-world application in stock trading. Strong analytical and quantitative skills.
Solid knowledge of probability theory and statistics. Python or Scala programming level: Middle+ with experience in data analysis.
Ability to develop and launch profitable trading strategies. Strong sense of responsibility, autonomy, and proactivity. Experience as a Financial Quantitative Analyst or in a similar role will be an advantage.
Russian — native or bilingual, English — intermediate level.
Experience conducting data research with real-world application in stock trading. Strong analytical and quantitative skills.
Solid knowledge of probability theory and statistics. Python or Scala programming level: Middle+ with experience in data analysis.
Ability to develop and launch profitable trading strategies. Strong sense of responsibility, autonomy, and proactivity. Experience as a Financial Quantitative Analyst or in a similar role will be an advantage.
Russian — native or bilingual, English — intermediate level.
Relocation package for the entire family and visa support.
Private medical insurance for all family members.
Competitive salary package based on experience and expertise. Performance-based bonuses.
Salary indexation according to inflation.
21 days of annual leave.
Support for professional training and development, including CySEC exams and training.
Free drinks, fruits, and vegetables in the office.
Free parking.
Corporate events and team outings.
Private medical insurance for all family members.
Competitive salary package based on experience and expertise. Performance-based bonuses.
Salary indexation according to inflation.
21 days of annual leave.
Support for professional training and development, including CySEC exams and training.
Free drinks, fruits, and vegetables in the office.
Free parking.
Corporate events and team outings.
Please get in touch
with our recruiters via
Telegram: @hr_createit
Submit an Application
