Python engineer in quantitative investment strategies

Grid Dynamics; Greater London; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Sports

Professional development

Job summary

Grid Dynamics is partnering with a leading global investment bank to recruit a Senior Python Engineer for the Quantitative Investment Strategies (QIS) Technology team in Global Markets. You will design, develop, and maintain production-grade Python applications and backend services within a distributed architecture, owning technical requirements and delivering business-critical functionality.

You will collaborate with quantitative developers, quants, and front-office stakeholders to expand the

Qualifications

• Strong Python development experience in a professional software engineering setting.
• Excellent understanding of object-oriented programming and design principles.
• Experience building backend services and multi-service applications.
• Ability to design, develop and deliver solutions independently from ambiguous requirements.
• Experience with distributed or service-oriented architectures.

Responsibilities

• Design, develop and maintain production-grade Python applications and backend services.
• Build multi-service applications within a distributed architecture.
• Translate business objectives into practical engineering solutions.
• Contribute to QIS platform expansion across assets (Equities, Commodities, Credit, Rates).
• Collaborate with quants and front-office stakeholders to deliver business-critical functionality.
• Investigate and resolve production issues and adapt to changing priorities.

Skills

Python

OOP

Backend services

Distributed systems

Production support

Problem-solving

Communication

Independent delivery

Tools

Quartz platform

Beacon platform

Job description

Описание:

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.

Задачи:

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.

Требования:

• 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

Условия:

• 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