At a Glance
- Tasks: Design and deploy AI-driven features and tools to enhance data workflows.
- Company: Join a forward-thinking fintech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on experimentation and continuous improvement.
- Why this job: Make a real impact by leveraging AI to solve complex challenges.
- Qualifications: Degree in a quantitative field and programming skills in Python, SQL, or JavaScript.
The predicted salary is between 60000 - 80000 £ per year.
- Overview
- 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
- 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 Java Script (academic projects, internships, or capstone work)
- Daily working fluency with AI development tools (Chat GPT, Claude, Git Hub 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
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We think you need these skills to ace AI Developer
AI Development Tools
Python
SQL
JavaScript
Data Analysis
Process Optimisation
Computational Modelling
