Quant Data Engineer/Scientist : Alternative Data : Quant Trading
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Scientist
Quant Data Engineer/Scientist :
Alternative Data :
Quant Trading : $300-400k+
Direct message the job poster from Hunter Bond
We are working with a fast-growing quantitative investment fund at an early but well-capitalised stage, looking to hire a Quant Data Engineer/Scientist to help build and scale their data platform supporting systematic equity and futures strategies.
This is a highly technical role sitting close to the investment process, offering real ownership over market data infrastructure used in both research and live trading.
As a Quant Developer / Data Engineer, you will play a key role in the acquisition, ingestion, and processing of large-scale financial datasets. You’ll work closely with quantitative researchers to ensure data is robust, clean, and production-ready.
Key responsibilities- Designing and maintaining data pipelines for market and alternative data
- Supporting historical backtesting and production deployment across equities and futures
- Managing data quality, validation, and versioning
- Optimising storage and retrieval for research and live systems
- Contributing to scalable, low-latency infrastructure in a startup environment
We’re looking for candidates with a strong background in financial data engineering, ideally within systematic trading or quant research environments.
Experience and qualifications- Equity statistical arbitrage datasets, including core market data (Bloomberg, Refinitiv, Fact Set)
- Working with alternative datasets (e.g. fundamentals, events, sentiment, signals)
- Large-scale time series data and cross-sectional datasets
- Building data systems that support both research and production workflows
- Experience with databases, data lakes, or columnar storage
- Familiarity with cloud-based or distributed systems
- Solid understanding of market data structures for equities and futures
- Start-up culture with genuine roadmap to $1billion AUM
- Equity on offer alongside excellent base plus bonus
- Machine learning is core to the investment process, not an overlay
- Exposure to multiple asset classes within a unified research framework
- Opportunity to influence model design, data architecture and research standards
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