Python engineer in quantitative investment strategies

We are partnering with a leading global investment bank to recruit a Senior Python Engineer into its Quantitative Investment Strategies (QIS) Technology team within Global Markets. The team owns and develops the end-to-end technology platform supporting the bank's QIS products, covering product creation, pricing and calculations, lifecycle management, reporting, and publishing to Bloomberg and other downstream systems.

• Design, develop and maintain production-grade Python applications and backend services.
• Build and enhance object-oriented, multi-service applications within a distributed architecture.
• Take ownership of technical requirements, translating business objectives into practical engineering solutions.
• Contribute to the development and expansion of the QIS platform across Equities, Commodities, Credit and Rates.
• Work on application performance, scalability, reliability and maintainability.
• Develop and integrate services communicating across the wider platform.
• Contribute to new event-driven and queue-based initiatives.
• Work closely with quantitative developers, quants and front-office stakeholders to deliver business-critical functionality.
• Investigate and resolve production issues, responding to business queries and changing priorities.
• Understand and contribute to a large, established and bespoke banking technology environment.
• Collaborate with engineers across London, the US, India and Tokyo.

• Strong commercial experience developing Python applications in a professional software engineering environment.
• Excellent understanding of object-oriented programming (OOP) and application design principles.
• Experience building backend services and multi-service applications.
• Ability to design, develop and deliver solutions independently, working from sometimes ambiguous requirements.
• Strong problem-solving skills and the ability to take ownership of technical challenges.
• Experience working with distributed or service-oriented architectures.
• Comfortable working within large, complex and established codebases.
• Strong communication skills and the ability to collaborate with technical and business stakeholders.
• A hands-on approach, with a willingness to contribute to both new development and production support.
• Будет плюсом: Experience within investment banking, capital markets or financial services; Knowledge of derivatives, equities, quantitative investment strategies or market data; Experience with low-latency, high-performance or high-throughput systems; Familiarity with distributed and event-driven architectures; Experience with messaging technologies or inter-service communication frameworks; Exposure to bank-specific Python platforms or frameworks such as Quartz, Athena or Beacon; Experience with queue management frameworks or technologies; Knowledge of pricing, product lifecycle management or trading systems

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office