Quantitative Developer (Fintech)

TL;DR

Quantitative Developer (Fintech): Building and optimizing financial-data products for traders and researchers with an accent on translating quantitative research into production-wise models and robust data processing pipelines. Focus on designing and implementing clean, production-ready Python code, building REST APIs, and ensuring reproducible results for real trading and research workflows.

Location: On-site in London, UK

Company

hirify.global is a fast-moving fintech startup that builds products with financial data for traders and researchers.

What you will do

• Collaborate with product managers, research analysts, and engineers to define project scope and deliver technical solutions.
• Maintain and improve hirify.global’s suite of financial-data products, from backend services to client-facing features.
• Design, implement, and ship clean, well-tested, production-ready Python code and reusable libraries.
• Build and maintain data processing pipelines that ingest, transform, and validate large financial datasets.
• Build production REST APIs and data services, and use SQL to analyze large relational datasets.
• Deploy production-quality code to cloud infrastructure (cloud providers, CI/CD pipelines) and own the end-to-end release process.
• Work with analysts to operationalize quantitative research, production-wise models, automate experiments, and ensure reproducible results.

Requirements

• STEM graduate (or final-year student) with demonstrable coding ability.
• Strong Python skills.
• Practical experience with SQL and relational databases.
• Comfortable with the command line and modern version-control workflows (e.g., GitHub).
• Strong communication skills, able to explain technical work to both technical and non-technical audiences.
• Independent, self-driven learner who takes ownership and can work across disciplines.
• Familiarity with automated testing and general software engineering best practices.

Nice to have

• 0–2 years professional experience in a software engineering, quantitative developer, or data engineering role.
• Experience within the finance industry.
• Good working knowledge of NumPy and Pandas.
• Familiarity with backend development and async programming in Python / modern Python frameworks.
• Experience with containerisation and cloud deployments (Docker, AWS).
• Practical exposure to financial data.

Culture & Benefits

• Join a fast-moving fintech startup where engineers own hard, open-ended problems.
• Collaborate closely with analysts and product teams.
• Opportunity to help shape product and research direction.
• Enjoy shipping production-grade code.
• Expected start in the first half of 2026.