Quantitative Data Engineer

Overview

In this role you will build and scale data pipelines that transform raw datasets into live signals, collaborating with Quantitative Researchers to accelerate research. You’ll apply Python at scale on cutting-edge infrastructure, leveraging AI and LLM-based workflows to automate ingestion to signals. You join a mission-driven team focused on making complex data actionable for high-impact research and product delivery.

Pay / Benefits

• competitive compensation with annual discretionary bonus
• lunch provided
• 35 days’ annual leave
• 9% company pension contributions
• comprehensive healthcare and life assurance
• cycle-to-work scheme

Responsibilities

• Onboard third-party datasets and create research-ready pipelines with normalization and validation
• Collaborate with Quantitative Researchers to engineer features and signals from data
• Leverage LLM-based agents to automate the ingestion-to-signals pipeline
• Develop tools and reusable workflows to help researchers and data scientists scale their work

Key requirements

• Strong academic record with a minimum 2:1 in a quantitative subject or equivalent
• Combination of software engineering and data skills
• Solid knowledge of algorithms, data structures and software fundamentals
• Experience building production data pipelines with Python data processing skills
• Comfort applying probability and statistics to real-world data problems
• Team-oriented, proactive, and flexible with a collaborative mindset
• Hands-on experience with LLM-based agents and workflows (desirable)
• Finance experience not required, candidates from non-financial backgrounds encouraged to apply

• collaborative environment
• innovation
• proactivity
• Python data processing
• production data pipelines
• data structures and algorithms

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