We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
Every breakthrough is built on strong foundations. In our BICA team, you’ll work across disciplines to drive the strategy, culture and structure that enable our success.
Take the next step in your career.
The roleThis is not a traditional assurance role. You will work directly with engineers and leadership to challenge how critical systems are designed, built and delivered, focusing on the risks that matter.
You will operate across a wide range of projects, from low-latency platforms to large-scale data systems. You will build a deep understanding of how things work and where they can fail, asking the right questions and providing clear, evidence-based insight to improve outcomes.
The role suits someone with strong technical curiosity and commercial awareness. You will be comfortable diving into complex systems and delivery mechanics while also assessing how they support strategic goals.
Key responsibilities of the role include:
- Analysing system architecture, interactions and alignment with overall strategy
- Deep diving into areas like CI/CD, resilience, availability and APIs
- Working with engineers to map systems, data flows and dependencies
- Using data, modern tooling and AI-assisted analysis to spot patterns, weaknesses and emerging risks early
- Evaluating how work is structured, prioritised and executed across teams
- Assessing how goals translate into real delivery on the ground
- Identifying gaps at system boundaries, integrations and third-party touchpoints
- Reviewing performance metrics ensuring they reflect real outcomes
- Using AI tools to synthesise complex technical information, identify non-obvious risks and improve the quality and speed of insights
- Breaking down complex systems and issues into simple, useful insights
- Sharing findings with senior engineers and leadership to influence decisions
- Highlighting opportunities to improve systems, delivery and strategy
- Contributing to a modern, technology-focused approach to risk assessment
The ideal candidate will have the following skills and experience:
- Interest in using AI and data to analyse complex systems, surface non-obvious risks and enhance decision-making
- Enjoy moving between technical detail and big-picture thinking, and are naturally curious about how systems, teams and technologies actually work
- Experience in engineering or technology risk, with knowledge of modern practices such as Agile, DevOps, CI/CD and distributed systems
- Ability to form clear, practical views in ambiguous situations, balancing technical and commercial considerations
- Strong communication skills with ability to influence through insight and credibility
- Strong academic background, ideally in Computer Science, Engineering or a related analytical field
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
