К вакансиям
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

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