22 hours ago
London, United KingdomMid Level
Responsibilities
- Deliver high-quality, well-engineered software with strong architectural awareness.
- Own solutions end to end, from concept through delivery.
- Build and improve trading systems, modeling capabilities, simulation and back-testing frameworks, and research tooling.
- Optimize trading and research systems for performance, scalability, and new capabilities.
- Support productionization and large-scale distributed training of machine-learning models.
- Identify scalable improvements, evaluate emerging technologies, and drive their adoption.
- Prioritize work for measurable business impact and communicate effectively with varied audiences.
- Collaborate with quantitative researchers and stakeholders across the business.
Requirements
- Solid knowledge of algorithms, data structures, and software fundamentals.
- Interest in quantitative finance and the role of engineering within it.
- Ability to make sound judgments, balance competing approaches, and prioritize effectively.
- Ability to communicate clearly, adapt communication style, understand others’ needs, and build strong working relationships.
Benefits
- Highly competitive compensation plus an annual discretionary bonus.
- Lunch provided via Just Eat for Business and a dedicated barista bar.
- 35 days of annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle-to-work scheme and monthly company events.
- London HQ-based role; the posting does not specify a remote or hybrid arrangement.
About G-Re
G-Research is a London-based quantitative research and technology firm that develops models, data pipelines, and trading systems to forecast movements in global financial markets. It employs researchers and software engineers to build machine-learning-driven strategies and the infrastructure that supports systematic investing, spanning high-performance compute and secure networks. Privately held and founded in 2001, the company operates from its London headquarters and focuses on institutional, data-intensive finance.