Quantitative Engineer

Founding Quantitative Engineer - HFT - Python, AWS, Crypto, Equities

Early-stage, well-funded startup building high-performance, data-driven systems at the intersection of machine learning and complex, real-time environments.

You will be one of the first hires, owning the design and development of core quantitative models and data systems from the ground up.

What you’ll do

• Design and implement quantitative models driving core product decisions
• Build and optimise large-scale data pipelines for model training and inference
• Work with real-time and batch data to improve prediction accuracy and system performance
• Partner closely with engineering to productionise models in low-latency environments

What they’re looking for

• Strong academic background in Computer Science, Mathematics, Statistics, or a related field from a top-tier university such as Oxford, Cambridge, Imperial etc...
• Strong programming skills in Python and at least one of C++, Go, or Rust
• Strong appreciation of platform engineering: understands how models interact with data pipelines, infrastructure, and production systems; able to design with scalability, reliability, and latency constraints in mind
• Experience building and deploying quantitative or ML models in production
• Solid understanding of statistics, experimentation, and data-driven decision making
• Experience working with large-scale, real-time or high-frequency data
• High ownership mindset, comfortable operating in an early-stage environment

Nice to have

• Experience in trading, optimisation, or ranking/recommendation systems
• Exposure to low-latency systems or performance-critical environments
• Background in startups or small, high-impact teams

Why join

• Founding-level role with direct impact on product and technical direction
• Small, elite team solving complex quantitative problems
• Strong compensation and meaningful equity