Fullstack Python Developer - Front Office

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values - proximity, teamwork, diversity, excellence - our 1000 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore.

CONTEXT

Join the technology team behind a leading global bank’s Equity Derivatives trading desks. You’ll be embedded with a Front Office engineering group building the proprietary platforms that traders, structurers, and risk managers rely on every day to price, hedge, and monitor exposure across listed and OTC products in real time. This is a fullstack Python role deeply integrated with the trading desk; you’ll need to understand the products as well as the code.

RESPONSIBILITIES

• Design and build Python services powering live market-data feeds, vol surface calibration, and pricing/booking logic for listed and OTC options
• Support hedging automation (EOD), intraday risk monitoring, and P&L attribution engines used across the desk
• Develop research and simulation libraries for structuring and client analytics, exposed via internal tooling and a shared web portal (some front-end work in Angular required, but this is not a UI-focused role)
• Build and maintain back-end services for batch processing, job orchestration, and alerting
• Contribute to CI/CD tooling (Jenkins, Docker, Kubernetes) as part of a migration to the firm’s modern internal dev platform
• Work directly with traders and risk managers to scope and deliver enhancements without breaking existing workflows, this requires genuine fluency in derivatives concepts, not just an engineering skillset
• Convert ad-hoc quant/analyst scripts and notebooks into properly versioned, tested, audit-compliant pipelines
• Provide live production support during trading hours; triage, fix, and deploy through a fast-track release process
• Help shape the platform’s roadmap around AI/ML-driven analytics

PROFILE

• 5+ years of expert-level Python in a trading/markets environment, OOP design, async/multithreading, performance-sensitive service architecture
• Strong, hands-on understanding of equity derivatives: implied vol, Greeks, options pricing models, market-data structures, listed vs. OTC booking flows
• Master’s degree in Computer Science, Engineering, Financial Engineering, or related field (or equivalent experience)
• Demonstrated ability to resolve high-pressure production incidents during market hours
• Comfortable working directly with trading/structuring desks to translate business needs into technical solutions
• Linux systems knowledge; PostgreSQL/SQL
• CI/CD stack: Jenkins, Docker, Kubernetes/Helm, Git, automated testing
• Working familiarity with Angular/TypeScript is a plus
• Bonus: experience shipping ML pipelines or embedding AI tooling into operational workflows
• Strong communicator, able to translate technical detail for front-office and senior stakeholders