Quantitative Developer

AnaVation LLC; Greater London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A fintech startup in Greater London is seeking a quantitative developer passionate about financial data and product development. In this full-time role, you'll collaborate with product managers and analysts to define and deliver technical solutions, while maintaining and enhancing financial-data products. The ideal candidate will exhibit strong Python and SQL skills, and have a commitment to quality code and testing. This position is set to start in the first half of 2026.

Qualifications

• Demonstrable coding ability in Python.
• Comfortable with command line and modern version-control workflows.
• Independent and self-driven learner.

Responsibilities

• Collaborate with product managers and analysts to define project scope.
• Maintain and improve financial-data products.
• Design, implement, and ship clean, production-ready Python code.

Skills

Strong Python skills

SQL and relational databases

Strong communication skills

Automated testing

Education

STEM graduate (or final-year student)

Tools

GitHub

Docker

AWS

Job description

We’re looking for a quantitative developer who is passionate about working with financial data and building products that traders and researchers actually use. At Intropic you’ll join a fast-moving fintech startup where engineers own hard, open-ended problems across research, data and product — we don’t just pick up JIRA tickets.

A typical week will mix Python and SQL development, deploying infrastructure changes, building new features for financial-data products, strategic planning with team leads, and attending client meetings to explain work and gather feedback. You should enjoy shipping production-grade code, be comfortable with ambiguity, collaborate closely with analysts and product teams, and take pride in clean, well-tested systems that power real trading and research workflows.

We hire the person, not the CV. If you thrive on end-to-end ownership and want to help shape product and research direction, we’d love to hear from you. This is a full-time role, expected to start in the first half of 2026.

Responsibilities

• Collaborate closely with product managers, research analysts and other engineers to define project scope, translate research into product requirements, and deliver concrete technical solutions.
• Maintain, extend and improve Intropic’s suite of financial-data products, from backend data services to client-facing features.
• Design, implement and ship clean, well-tested, production-ready Python code and reusable Python libraries used across the stack.
• Build and maintain data processing pipelines that ingest, transform and validate large and heterogeneous financial datasets.
• Build production REST APIs and data services, and use SQL to analyse 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 operationalise quantitative research: production-wise models, automate experiments, and ensure reproducible results.

Qualifications - Required

• STEM graduate (or final-year student) with demonstrable coding ability.
• Strong Python skills (other OOP languages such as Java or C++ are welcome and seen as a plus).
• Practical experience with SQL and relational databases
• Comfortable with the command line and modern version-control workflows (example: GitHub / GitLab / Bitbucket).
• Strong communicator, 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 (code review, CI concepts).

Qualifications - Preferable

• 0–2 years professional experience in a software engineering, quantitative developer, or data engineering role. Experience within the finance industry is a strong plus.
• 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, cloud platforms such as AWS).
• Practical exposure to financial data via university projects, internships or full-time work.