Data Scientist / Quantitative Analyst в Агентство Рекрутер Дарья Limassol

Data Scientist / Quantitative Analyst для разработки алгоритмических торговых стратегий в инвестиционной компании. Анализ финансовых рынков, построение статистических моделей и внедрение торговых алгоритмов.

Задачи:

• 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.

Требования:

• 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.
• Russian — native or bilingual, English — intermediate level

Условия:

• 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.

Навыки:

• Python
• Scala
• Rust
• Linux
• Docker
• Kubernetes
• ClickHouse
• PostgreSQL