Data Scientist
Data Scientist Quantitative Analyst On-site
ID: 16478
24 ноября 2025 г.
Активна
Sparkland
ОАЭ, Дубай
Требуемый опыт
От 1 года до 3 лет
Формат работы
Полный день
📞Способы связи
📄 Оригинальный текст вакансии
Data Scientist / Quantitative Analyst
Company: Sparkland
Location: Dubai (on-site)
Responsibilities:
- Conduct trading-related data analysis, create dashboards, and generate analytical insights;
- Manage the strategy rebalance framework and improve systematic decision-making processes;
- Perform ad-hoc analysis for the trading team, test hypotheses, and conduct backtesting;
- Evaluate, optimize, and develop existing trading strategies;
- Work collaboratively with engineers and traders to improve access to clean, actionable data;
- Build dashboards, reporting pipelines, and generate insights for the broader organization.
Requirements:
- 2+ years of experience;
- Python - Comfortable writing production-grade analytical scripts; understands software engineering best practices;
- SQL / ClickHouse - Able to query large datasets, build joins/aggregations, and tune performance;
- Data Analysis & Visualization - Strong analytical mindset; able to summarize findings via reports or dashboards;
Statistics & Probability - Ability to design and validate hypotheses using statistical methods;
- English C1;
- Completed higher education.
Nice to have:
- Yandex School of Data Analysis (ShAD)
- Machine Learning (XGBoost, scikit-learn)
- Experience with time-series data in trading/finance.
What We Offer:
Flexible hours - Although we work more or less in a Central European timezone, flexible hours are still part of the package. Because only you know when, and where, you're most productive.
Relocation packages - Want to work in the Dubai office? We'll help you, and those closest to you, make the move, get set up, and get settled.
Annual workations - Twice a year, we pack our bags and head off on a week-long work retreat so we can hang out in real life.
Contacts:
TG @sotnikova_ey
🌐 Языки
английский (C1 — Продвинутый)
🛠 Навыки
ClickHouse
Python (computer programming)
scikit-learn
SQL
XGBoost
🎯 Домены
Finance
Trading
🤖 ИИ навыки
backtesting
ClickHouse
Dashboard Development
Data Cleaning
Machine Learning
perform data analysis
Probability Theory
Python (computer programming)
reporting pipelines
scientific research methodology
scikit-learn
SQL
Time Series Analysis
Trading Strategies
visual presentation techniques
XGBoost
* Навыки определены автоматически с помощью нейросети
🤖 ИИ домены
Data Science
Financial Services
Quantitative Finance
Trading
* Домены определены автоматически с помощью нейросети
📢 Информация о публикации
🔗 Оригинальные посты (2)
Канал:datasciencejobs