Data Scientist (Quantitative Analyst)
Sparkland(1 year ago)
About this role
A Data Scientist at Sparkland converts complex trading and market data into actionable insights to improve operational efficiency and inform strategic trading decisions. The role supports real-time decision-making and business growth within a fast-paced HFT and crypto trading environment. The position is fully remote and emphasizes continuous learning, collaboration with traders, and opportunities for relocation and global team events.
Required Skills
- Data Analysis
- Trading Data
- SQL
- Python
- Dashboards
- BI Tools
- A/B Testing
- Time-Series
- Statistics
- Experimental Design
+11 more
Qualifications
- Degree in Mathematics
- Degree in Physics
- Degree in Economics
- Degree in Computer Science
About Sparkland
sparkland.ioSparkland is a global high-frequency trading firm focused on crypto markets, positioning itself as a leading, real‑time participant in market making and trading across centralized and decentralized venues. The company blends low‑latency engineering, quantitative research, and proprietary execution to provide liquidity, capture microstructure opportunities, and manage risk. Sparkland runs a hybrid team of traders, researchers, and software engineers and emphasizes performance‑driven infrastructure and rapid iteration. It presents itself as building the future of crypto in real time and actively recruits technical and trading talent.
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