Quantitative Developer

As part of its global expansion plans, a fintech startup is currently looking for a Quantitative Developer who enjoys building clean, dependable systems that support real-world investment

decisions.

You'll collaborate closely with researchers, portfolio managers, and data/infra teams to turn ideas into polished, production-ready tools—ranging from portfolio utilities to reporting frameworks. This role is hands-on, engineering-focused, and offers plenty of room to take ownership and shape the platform.

What you'll work on:

• Creating services, data models, and command-line tools used across portfolios, strategies, and data pipelines
• Converting exploratory notebooks into robust, typed Python packages
• Enhancing market-data infrastructure across PostgreSQL, S3, Parquet, and ingestion flows
• Building and testing analytics components for performance, attribution, and rebalancing
• Turning research concepts into reliable Python modules with strong testing and observability
• Improving processes and systems proactively rather than waiting for direction

What you should bring:

• Deep Python experience (typing, packaging, testing, code quality tools)
• Solid quantitative background (statistics, optimization, signals, etc.)
• Proficiency in SQL and comfort writing/reading migrations
• Strong engineering habits with git, CLI workflows, and automation
• Experience with AWS, containerized development, and CI pipelines
• A self-driven approach and ability to manage your own priorities

Bonus experience: portfolio or risk concepts, factor research, execution analytics, integrating market-data vendors, or distributed compute environments.