Senior Python Engineer – Quantitative Investment Strategies (QIS)

Grid Dynamics; Greater London; Hybrid; GBP 110,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Sports

Well-equipped office

Flexible schedule

Job summary

Grid Dynamics is seeking a Senior Python Engineer to join the QIS Technology team in Global Markets. You will develop a service-oriented Python platform supporting pricing, calculations, lifecycle management, and reporting across multiple asset classes.

You will own complex engineering challenges, work with quantitative teams and front-office stakeholders, and contribute to production-grade applications in a globally distributed environment.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python backend development

Object-oriented design

Distributed systems

Production software engineering

Stakeholder collaboration

Performance & scalability

Job description

The Opportunity

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.

The platform currently supports over 1,000 live Equities QIS products and is undergoing significant expansion across four asset classes: Equities, Commodities, Credit and Rates. This is a major growth area for the business, with continued investment in new functionality, platform scalability and performance.

This is an opportunity for a strong, hands-on Python engineer to work on business-critical applications, collaborate closely with quantitative teams and front-office stakeholders, and contribute to a platform that supports the full product and trade lifecycle.

The Role

You will join a distributed engineering team responsible for developing and enhancing a large-scale, service-oriented Python platform.

The role requires someone who can take ownership of complex engineering challenges, work independently with sometimes ambiguous requirements, and deliver robust production-quality applications. You will contribute to new development initiatives as well as the ongoing evolution and support of the existing platform.

This is a hands-on engineering position, suited to someone who enjoys solving problems, designing solutions and taking responsibility for delivering them through to completion.

Key Responsibilities

• 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.

Essential Skills & Experience

• 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.

Nice to have

Desirable Skills & Experience

• 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.

Technology Environment

• Languages: Python
• Platform: Quartz (internal Python application platform)
• Architecture: Object-oriented, service-oriented and distributed systems
• Messaging: AMPS
• Queue Management: Dash (internal framework)
• Client Portal: Nova
• Domain: Quantitative Investment Strategies, Equities and Derivatives

The Team & Environment

You will join an established, globally distributed technology team working closely with the QIS Quantitative team, which is predominantly based in London.

The team works across London, the US, India and Tokyo, with opportunities to collaborate across locations and take ownership of initiatives involving multiple engineering groups.

New joiners are supported by experienced senior engineers and mentors before progressing onto their own areas of responsibility.

The role offers a balance of new feature development and ongoing platform support, with approximately 50% focused on new initiatives and 50% on enhancing and supporting the live platform.

Why Join?

• High-growth business: Join a strategically important and rapidly expanding area of Global Markets technology.
• Major platform expansion: Help extend an established Equities platform across Commodities, Credit and Rates.
• End-to-end exposure: Gain visibility across the full QIS product lifecycle, from creation and pricing through lifecycle management, hedging and reporting.
• Front-office collaboration: Work closely with quants and business stakeholders, with direct visibility of the impact of your engineering.
• Engineering at scale: Contribute to a platform supporting more than 1,000 live products, with further growth planned.
• Meaningful development: Work on new platform initiatives alongside the enhancement of business-critical production systems.
• London team growth: Join as the London engineering presence continues to expand.

We offer

• 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

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.