Senior Python Engineer – Quantitative Investment Strategies (QIS)

Essential functions

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.

Qualifications

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.

Would be a plus

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.

This role is particularly suited to an independent, hands-on Python engineer who enjoys building real applications, solving complex problems and taking ownership of delivery within a demanding financial services environment.

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.