Headquarters: London (30 Churchill Place, E14 5RE)
Core offering: Index rebalance forecasts and financial information products for capital markets
Employees: ~80
Known leaders: Ravinder Bhadhal (CEO), Sam Shannon (CPO)
Company Overview
Problem Domain
Capital markets: forecasting index rebalances and delivering actionable financial data.
Founded
2018
Industry
Financial information / Capital markets
Funding Track Record
Seed
Crunchbase lists two funding rounds and reports four investors, naming Acequia Capital and Connect Ventures among them.
Founders
What we do
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We’re looking for a quantitative developer who is passionate about working with financial data and building products that traders and researchers actually use
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
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)
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
What the job involves
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
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
The application process
This is a full-time role, expected to start in the first half of 2026
Benefits
Private health insurance
Dedicated learning budget
Octopus electric vehicles - Salary sacrifice scheme for electric vehicles run through Octopus
Vitality health insurance - provides loads of things including access to consultants, discounts on healthy foods / gyms
Gym - £25 per month towards gym + Breakfast & Dinner allowances if you're in early or working late
Dash Cycle scheme - where you can buy bikes, bike related items (helmet, lime bike credits etc.)
Techscheme - where you can buy tech through a salary sacrifice scheme