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# Lead Quantitative Developer

- **Company:** Internetwork Expert
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Python (Programming Language), Software Coding
- **Published:** July 11, 2026
- **Apply:** https://www.jobbird.com/nl/vacature/25422236-lead-quantitative-developer

## About the Role

* Strong mathematical and algorithmic thinking; solid grasp of statistics and probability
 * Ability to write production-quality C++ and Python 3
 * Experience delegating technical work - not just assigning tasks, but framing problems so others can own them
 * Track record of growing junior and mid-level engineers
 * Deep systems understanding: ability to navigate the full stack from model training and simulation through to production - and reason about how a change at one layer affects others
 * Willingness to dive deep into market microstructure and strategy details
 * Experience with or strong interest in ML/AI tooling in research workflows

## Description

We're looking for a Lead Quantitative Developer to join one of our trading teams - someone who combines deep technical ownership with the ability to grow and lead people. The team is intentionally small by design - close mentorship, no bureaucracy. Great leadership here means staying in the trenches, not stepping away from them. We're building toward a research lab culture. That means: understanding why something works, not just making it work. Reducing vague problems to core uncertainties before writing code. Intellectual honesty - with yourself and in the code you review. And the courage to push back and own decisions when it matters.
What you'll do

 * Owning and evolving the team's strategy codebase with direct P&L impact
 * Decomposing research and production problems into concrete, delegatable tasks with clear success criteria
 * Growing QDs on the team - understanding their strengths, motivations, and career goals; giving regular feedback that amplifies rather than just corrects
 * Prioritizing QD capacity across competing demands: research requests, production stability, infra timelines
 * Driving alignment with infrastructure and research teams through influence, not hierarchy
 * Accelerating the research cycle using in-house AI development tools - agentic coding assistants, end-to-end AI-driven workflows
 * Independently building and shipping strategy improvements where engineering quality has direct trading impact


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