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- Tasks: Join a dynamic team to support trading operations and automate workflows.
- Company: Work with a leading global quantitative trading firm in London.
- Benefits: Enjoy a hybrid work model and the chance to impact trading performance.
- Why this job: Perfect for tech-savvy individuals eager to shape systems in a fast-paced environment.
- Qualifications: Bachelor’s or Master’s in Maths, Engineering, or Computer Science; 2-3 years experience required.
- Other info: Confidential application process ensures your profile is shared only with consent.
The predicted salary is between 48000 - 72000 £ per year.
Quant Capital is hiring on behalf of a leading global trading firm looking for an Operations Analyst to join its London team. This is a high-exposure role within a small, technically capable operations group supporting a multi-asset, multi-venue trading environment.
You’ll work across reconciliations, trade support, cash and collateral management, and process automation—helping ensure the firm’s global trading infrastructure runs smoothly and scales efficiently. Ideal for someone who thrives in a fast-moving, engineering-first environment and wants their work to directly impact performance.
Role OverviewThis role provides hands-on exposure to trading systems, operational processes, and financial products across the full trade lifecycle. You’ll be building and automating workflows, monitoring risk, liaising with brokers and exchanges, and working with engineers to develop new tooling and reporting infrastructure. This isn’t back-office ops—it’s embedded, high-leverage work in a deeply technical, high-trust environment.
Key Responsibilities- Daily reconciliations across cash, positions, and trading activity
- Manage broker and exchange relationships, resolve operational issues
- Monitor live risk and escalate accordingly
- Develop and maintain automated tools (Python, Go, SQL)
- Support cash, margin, and collateral flows across multiple venues
- Handle reporting: P&L, risk, treasury, and regulatory checks
- Participate in the team’s on-call support rota
- Support onboarding of new products, brokers, and venues
- Contribute to ad hoc analysis and data reporting projects
- Bachelor’s or Master’s degree in Maths, Engineering, or Computer Science (min 2:1)
- 2–3 years experience in trading operations or a similar environment
- Solid Python or Go scripting experience; SQL for data queries/manipulation
- Strong analytical and troubleshooting skills
- Clear communicator with experience working across teams
- A self-starter who takes ownership of problems and builds scalable solutions
- Familiarity with at least one asset class from an ops or support perspective
- High-impact role in a fast-paced trading environment
- Exposure across asset classes, products, and trade lifecycle
- Autonomy to design and automate operational processes
- Embedded within a tech-driven team where ideas are implemented quickly
- Real opportunity to shape systems, not just follow workflows
All applications handled with strict confidentiality – your profile will only be shared with your consent.
Trading Operations Engineer employer: Quant Capital
Contact Detail:
Quant Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Operations Engineer
✨Tip Number 1
Familiarise yourself with the specific trading systems and tools mentioned in the job description, such as Python, Go, and SQL. Having a solid understanding of these technologies will not only help you during the interview but also demonstrate your proactive approach to learning.
✨Tip Number 2
Network with professionals already working in trading operations or similar roles. Attend industry events or join online forums to gain insights into the day-to-day challenges they face and how you can position yourself as a valuable asset to the team.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully automated processes or resolved operational issues. Highlighting your problem-solving skills and ability to work under pressure will resonate well with the hiring team.
✨Tip Number 4
Research the firm’s recent projects or initiatives in trading operations. Being knowledgeable about their current focus areas will allow you to tailor your conversation during interviews and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Trading Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in trading operations or similar environments. Emphasise your technical skills, especially in Python, Go, and SQL, as well as any experience with cash and collateral management.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for trading operations and your understanding of the role. Mention specific projects or experiences that demonstrate your analytical skills and ability to work in a fast-paced environment.
Highlight Relevant Skills: In your application, clearly outline your scripting experience and any familiarity with asset classes. Use examples to illustrate your problem-solving abilities and how you've contributed to operational processes in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial in a trading operations role.
How to prepare for a job interview at Quant Capital
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Go, and SQL during the interview. Be prepared to discuss specific projects where you've used these skills to automate processes or solve operational issues.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your analytical and troubleshooting abilities. Discuss how you've approached complex problems in trading operations and the impact of your solutions on the overall performance.
✨Communicate Clearly
As a Trading Operations Engineer, you'll need to liaise with various teams. Practice articulating your thoughts clearly and concisely, especially when explaining technical concepts to non-technical stakeholders.
✨Understand the Trading Environment
Familiarise yourself with the multi-asset, multi-venue trading environment. Research the firm’s operations and be ready to discuss how your background aligns with their needs and how you can contribute to their success.