Full-Time
Quantitative Developer
Intropic
51-200 employees
Self-service data mesh for capital markets
No salary listed
London, UK
In Person
 Quantitative Finance (1) |
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 Software Engineering (1) |
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- 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).
- 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.
- 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.
Intropic builds a data refinery and infrastructure platform for capital markets. The core product is a self-service, decentralized data mesh that lets financial teams clean, connect, and model data from multiple sources without relying on centralized data engineering. It enables users to structure information, incorporate domain knowledge, and blend in proprietary data, with features like customizable dashboards and agent-based simulations that simulate data workflows as if the team had its own data engineers. Intropic serves hedge funds, asset managers, prop traders, banks, and sovereign wealth funds, and is known for its Index Rebalance Forecasts used to manage risk and large rebalance flows. The company monetizes by delivering its data products and infrastructure as a service. Its goal is to reduce data fragmentation and bottlenecks for financial institutions, enabling faster, more informed investment decisions by turning scattered data into a coherent, usable data fabric.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
2018
Simplify's Take
What believers are saying
- Expanded equity market strategy products target new revenue from elite financial clients.
- Employee growth to 51-100 scales operations for broader platform development.
- Serves index managers, brokerages, and investment banks in high-volume trading ecosystems.
What critics are saying
- Bloomberg's Q1 2026 AI tools capture 70% hedge fund workflows, eroding market share.
- OpenAI o1-pro enables in-house simulations, replicating data mesh without fees.
- UK FCA March 2026 AI audits halt sovereign contracts due to explainability failures.
What makes Intropic unique
- Intropic's data mesh empowers domain experts to self-service clean and model capital markets data.
- Index Rebalance Forecast products manage billions in flows for hedge funds and sovereign wealth funds.
- Agentic AI and elastic cloud integrate proprietary data for superior financial intelligence.
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Benefits
Private Health Insurance
Stock Options
401(k) Retirement Plan
Remote Work Options
Hybrid Work Options
Paid Vacation
Paid Sick Leave
Paid Holidays
Wellness Program
Mental Health Support
Phone/Internet Stipend
Home Office Stipend
Conference Attendance Budget
Professional Development Budget
Family Planning Benefits
Fertility Treatment Support
Company Equity
Student Loan Assistance
Parental Leave
Adoption Assistance
Pet Insurance
Relocation Assistance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Gym Membership
Commuter Benefits
Meal Benefits
Professional Certification Support
Tuition Reimbursement
Training Programs
Mentorship Program
Employee Discounts
Employee Referral Bonus
Performance Bonus
Profit Sharing
Educational Allowance
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -2%2 year growth
↓ -3%Most startups want to shout as loud as possible about their latest fundraising deal. But a whole lot of deals also go entirely unannounced.