Quantrepreneur - Engineering at Intropic

Setup: On-site
Location: London, England
Type: Full-time, Internship
Level: intern
Posted: Mar 23, 2026

Description

Intropic is recruiting for a 10-week 2026 internship program for eligible STEM, Economics, or Finance students, with possible conversion to full time. The internship covers client-facing work, financial research, technical solutions, Python debugging, infrastructure deployment, REST API and data-pipeline development, production-system maintenance, client support, workflow testing, and cross-functional project delivery. Candidates should have programming and analytical experience, entrepreneurial initiative, leadership experience, and strong communication skills. The internship is on-site at Intropic’s offices in London and does not provide immigration sponsorship.

Required Skills

Python
C/C++
Java
Statistical analysis
Machine learning
REST APIs
Data pipelines
Python debugging
Financial research

Additional Information

Minimum Education: Full-time undergraduate or master's student in STEM, Economics, or Finance eligible for an internship in 2026
Required Previous Experiences: Programming experience in Python, C/C++, or Java, or experience with statistical analysis, numerical programming, or machine learning
Founding or leading a major university project with end-to-end responsibility
Leadership or team management in a university project, startup, or entrepreneurial initiative
Preferred Qualifications: Entrepreneurial spirit and intellectual achievement
Self-starter and independent work ability
Analytical and problem-solving skills
Cross-disciplinary knowledge application
Intellectual curiosity and problem-solving depth
Creative collaboration
Written and oral communication
Passion for financial markets and technology

About Intropic

Intropic

capital markets

Its refined financial data helps investment banks, hedge funds, market makers and institutional investors understand index changes, forecast passive flows and manage index rebalance risk. The company is known for proprietary index rebalance forecasts, used by financial institutions worldwide to manage risk and facilitate billions of dollars of index rebalance flows.