At a Glance
- Tasks: Lead a team to develop scalable systems for high-impact quantitative research.
- Company: Join a pioneering firm in quantitative finance with a focus on innovation.
- Benefits: Competitive pay, generous leave, free lunch, and a relaxed dress code.
- Other info: Enjoy a vibrant work culture with monthly events and a commitment to inclusivity.
- Why this job: Shape the future of finance with cutting-edge technology and collaborative teams.
- Qualifications: Experience in leading teams and building high-performance systems is essential.
The predicted salary is between 80000 - 100000 £ per year.
About the Company
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.
Role Overview
As part of our engineering team, you’ll shape the platforms and tools that drive high‑impact research – designing systems that scale, accelerate discovery and support innovation across the firm. This role sits within the Basecamp Technology group, providing specialised engineering capabilities and scalable components to our Research and Trade Technology groups.
Key Responsibilities
- Leading the team responsible for enabling quantitative researchers to efficiently utilise a large‑scale compute estate.
- Setting technical direction and overseeing systems that simplify running workloads across large‑scale compute farms, ensuring reliability and scalability.
- Owning the strategy and evolution of the scheduling platform (F#) and its Python/.NET interfaces, the primary tools used by researchers.
- Guiding the development of real‑time observability tooling, such as TypeScript/React, F#, ASP.NET and Postgres on Kubernetes, to provide clear visibility into workload execution.
Qualifications
- Experience leading teams building distributed, high‑performance or compute‑intensive systems.
- Familiarity with research or data‑driven workflows.
- Experience delivering reliable, scalable production systems.
- Strong problem‑solving skills and ability to work closely with researchers and technical stakeholders.
- Excellent communication and collaboration skills.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided (via Just Eat for Business) and dedicated barista bar.
- 35 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.
Inclusive Environment Commitment
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.
Engineering Manager - Realtime Quant Frameworks employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among world-class researchers and engineers. Our London HQ provides a supportive environment with generous benefits, including 35 days of annual leave, comprehensive healthcare, and a commitment to inclusivity, ensuring every employee has the opportunity to thrive and grow in their career.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Realtime Quant Frameworks
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that personal connections can open doors, so don’t be shy about making those introductions.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s projects and tech stack. Familiarise yourself with their work in quantitative finance and think about how your experience aligns with their needs. We want you to shine!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss past challenges you've tackled, especially in high-performance systems. We love hearing about real-world examples that demonstrate your expertise.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. We appreciate candidates who show enthusiasm and professionalism, so let us know you’re keen!
We think you need these skills to ace Engineering Manager - Realtime Quant Frameworks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your experience in leading teams and building scalable systems, as this is what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative finance and how your background makes you a perfect fit for our team. We love seeing genuine enthusiasm!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of how you've tackled complex problems in the past. We value strong problem-solving skills, so let us know how you’ve made an impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Barlowe LLP
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like F#, Python, and Kubernetes. Brush up on your knowledge of distributed systems and be ready to discuss how you've tackled similar challenges in the past.
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've guided teams through complex projects, focusing on your communication and collaboration skills.
✨Understand Their Research Needs
Familiarise yourself with the research or data-driven workflows that the company uses. Be prepared to discuss how you can help quantitative researchers optimise their use of large-scale compute resources and improve their workflows.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to innovation and how they support their engineering teams. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
