About the role
OPERATIONS ANALYST – TRADING & POST-TRADE SUPPORT Global Quantitative Trading Firm London – Hybrid (4 days onsite) 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 Overview This 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 projectsWhat You’ll Need • 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 perspectiveWhy Apply? • 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 workflowsAll applications handled with strict confidentiality – your profile will only be shared with your consent.
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