Trading Operations Engineer

JR United Kingdom; Stevenage; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading global trading firm is seeking an Operations Analyst to support its London team. This hands-on role involves daily reconciliations, broker management, and the automation of operational processes, requiring a strong technical background in Python or Go and analytical skills. The position offers exposure across asset classes and significant autonomy in improving workflows.

Benefits

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

Qualifications

• 2–3 years experience in trading operations or similar.
• Solid Python or Go scripting experience and SQL for data manipulation.
• Familiarity with asset classes from an operations or support perspective.

Responsibilities

• Daily reconciliations across cash, positions, and trading activity.
• Manage broker and exchange relationships and resolve issues.
• Develop and maintain automated tools for operational efficiency.

Skills

Analytical skills

Troubleshooting

Communication

Python scripting

Go scripting

SQL

Education

Bachelor’s or Master’s degree in Maths, Engineering, or Computer Science

Job description

Social network you want to login/join with:

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 projects

What 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 perspective

Why 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 workflows

All applications handled with strict confidentiality – your profile will only be shared with your consent.