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Tech Stack
Tools & technologiesJavaScriptPythonSQL
About the role
Key responsibilities & impact- Design and deploy platform features, data pipelines, automations, and internal tools that improve Allocator's data aggregation, analytics, and reporting workflows
- Use AI coding assistants as core daily tools; we value problem-solving ability and execution speed over memorising syntax
- Build agentic workflows and AI-driven features into our platform and internal tooling, applying LLMs and orchestration frameworks where they deliver real leverage
- Analyse workflows across data collection, fund reporting, and client delivery, identifying improvement opportunities and implementing practical solutions
- Move from concept to prototype to production efficiently. Launch MVPs, track performance, and iterate based on client and internal feedback
- Collaborate with Product, Data, and Client Success teams to understand requirements, demonstrate solutions, and support adoption
- Establish performance baselines, implement changes, and document measured impact for every feature shipped
- Lead discovery sessions with Product and Data teams, documenting success criteria, technical specifications, and trade-offs clearly
- Develop release notes, setup guides, and onboarding materials accessible to non-technical colleagues and clients
Requirements
What you’ll need- Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline
- First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally recognised university, or equivalent (e.g. GPA 3.5+/4.0)
- Strong written and verbal communication, capable of producing technical specifications, presenting demonstrations, and translating between technical and business contexts
- Analytical mindset with the ability to decompose complex, ambiguous challenges into actionable steps
- Programming foundation in Python, SQL, or JavaScript (academic projects, internships, or capstone work)
- Daily working fluency with AI development tools (ChatGPT, Claude, GitHub Copilot, Cursor), used as core tools rather than occasional aids
- Bias for action; prefers experimentation and data-driven iteration over extended planning
- Desirable: Hands-on experience building with LLMs, prompt engineering, or AI agent frameworks in a production environment
- Background in data analysis, process optimisation, or computational modelling
- Internship or work experience in fintech, asset management, consulting, or technology
- Familiarity with or interest in alternative investments, fund data, or institutional finance
Benefits
Comp & perks- Professional development budget (e.g. CFA, CAIA, or other relevant certifications)
- Hybrid working from our Shoreditch-based London office (1 to 2 days in office per week minimum)
- Private medical cover
- Pension plan contributions
- Regular team socials and events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLJavaScriptdata analysisprocess optimisationcomputational modellingLLMsprompt engineeringAI agent frameworksdata pipelines
Soft Skills
problem-solvingexecution speedanalytical mindsetstrong written communicationstrong verbal communicationcollaborationbias for actionexperimentationdata-driven iterationdocumentation
Certifications
Bachelor's degreeMaster's degree (preferred)First-Class HonoursUpper Second-Class HonoursGPA 3.5+/4.0