Jobless Developer
Intropic logo
Intropic

Posted 4 months ago

Open

Quantitative Developer

LondonOn-siteFull-time

AI Summary

Quantitative developer role focusing on building production-grade Python-based data products for traders and researchers, with end-to-end ownership from data pipelines to REST APIs and cloud deployments.

About this role

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.

    • Skills

    Asynchronous ProgrammingCI/CDCloud Platforms (AWS)Data PipelinesDockerGit/version ControlNumPyPandasPythonPython LibrariesRelational DatabasesREST APISQLSQL ToolingUnit TestingUnix Command LineWeb Services

    Explore related jobs

    More jobs at Intropic

    Similar Asynchronous Programming jobs

    Jobs in London

    Browse these categories

    CI/CD JobsData Pipelines JobsDocker JobsNumPy JobsPandas Jobs