Requirements

• A strong academic record, minimum 2:1 degree or equivalent in a quantitative subject such as mathematics, statistics, computer science, physics, or engineering
• Combination of strong software engineering and data skills
• Solid knowledge of algorithms, data structures, and software fundamentals
• Experience building production data pipelines with strong Python data processing skills
• Comfort applying probability and statistics to real-world data problems
• Motivation by delivering measurable value through your work
• Preference for collaborative environments valuing innovation, proactivity, and flexibility

Nice to haves

• Hands-on experience with LLM-based agents and workflows
• Finance experience is not necessary; candidates from non-financial backgrounds are encouraged to apply

What you'll be doing

• Onboarding new third-party datasets, including building pipelines, normalisation, and validation to make data research-ready
• Partnering with Quantitative Researchers to engineer features and build signals from onboarded data
• Using LLM-based agents and workflows to safely automate pipelines from ingestion to signals
• Building tools and reusable workflows to help researchers and data scientists scale their work

Perks and benefits

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided through Just Eat for Business and dedicated barista bar
• 35 days annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Cycle-to-work scheme
• Monthly company events
• Experience days with all-expenses-paid outings, including Michelin-star tasting menus and European day trips