Front Office Full Stack Developer Python (Equity Derivatives) - New York

***This position is based in New York, and relocation is mandatory. We are open to French nationals who are willing to relocate and for whom we can sponsor a work visa. Remote work from France is not possible for this role.*** 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 We are looking for a Full Stack Developer (Python / Angular) to join the Front Office IT team of a leading global investment bank, supporting the Equity Derivatives eTrading desks. You will help build and support a suite of proprietary analytics tools used daily by traders, structurers and risk managers to price, hedge and monitor risk across listed and OTC products, in real time. RESPONSIBILITIES • Build and maintain Python micro-services and Angular front-ends powering real-time market-data ingestion, implied volatility surface calibration, and options pricing and booking (listed and OTC) • Support automated end-of-day hedging workflows, intraday risk monitoring, and interactive P&L attribution tools • Contribute to quantitative research and simulation tools supporting structuring and client-facing analytics, accessible through a shared web portal • Develop and operate back-end Python services for batch reporting, process management, and alerting • Steward CI/CD pipelines (Jenkins, Docker, Kubernetes) and migrate existing applications onto the firm's transversal rapid-development platform • Capture, build, and validate business-driven enhancements directly with traders, structurers, and risk managers, without disrupting core workflows • Package ad-hoc scripts and notebooks into managed, auditable pipelines (version control, testing, audit logging) to meet business and compliance requirements • Provide production support during market hours: monitor services, address incidents promptly, and apply fixes through a streamlined release process • Contribute to the platform's roadmap toward AI/ML-driven analytics PROFILE • Minimum 5 years of experience building and supporting production-grade Python back-end services and Angular front-ends in a trading environment • Master's degree (US or foreign equivalent) in Computer Science, Engineering, or a related discipline, or equivalent experience • Solid understanding of equity derivatives concepts (volatility, Greeks, options pricing, market-data flows) • Proven ability to troubleshoot and resolve critical incidents quickly under pressure, during market hours • Expert-level Python (object-oriented design, multithreaded/async programming) and strong JavaScript/TypeScript with Angular • Linux systems knowledge; databases (PostgreSQL) and SQL • CI/CD experience: Jenkins, Docker, Kubernetes (Helm), Git, testing • Nice to have: hands-on experience building and deploying machine-learning pipelines and integrating AI-assisted tooling into operational workflows • Excellent oral and written communication; ability to convey technical concepts to front-office users and senior stakeholders