Quant Developer​/Data Engineer : Alternative Data : Quant Trading

Quant Developer / Data Engineer:
Alternative Data :
Quant Trading : $300-400k+

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We are working with a fast-growing quantitative investment fund at an early but well-capitalised stage, looking to hire a Quant Developer / Data Engineer 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.

• 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.

• Equity statistical arbitrage datasets, including core market data (Bloomberg, Refinitv, 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 $1 billion 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

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Finance

• Technology, Information and Media, Financial Services, and Engineering Services

• 401(k)
• Vision insurance
• Medical insurance
• Pension plan

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