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
- Linux systems knowledge; databases (PostgreSQL) and SQL
- 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