Trading Operations Engineer

ZipRecruiter; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A leading global quantitative trading firm is seeking a Trading Operations Engineer to join their London team. This high-impact role involves directly supporting trading operations with responsibilities including reconciliations, trade support, and process automation. The ideal candidate will have solid scripting experience in Python or Go, and a background in trading operations. This position offers hands-on exposure to trading systems and the opportunity to shape processes in a fast-paced, technical environment.

Benefits

High-impact role in a fast-paced trading environment

Autonomy to design and automate operational processes

Exposure across asset classes and products

Qualifications

• Bachelor’s or Master’s degree required with a minimum 2:1 grade.
• 2–3 years of experience in trading operations or similar environment.
• Strong programming skills in Python or Go, and SQL for data queries.

Responsibilities

• Manage daily reconciliations across cash, positions, and trading activity.
• Develop and maintain automated tools to improve efficiency.
• Monitor live risk and ensure smooth operational processes.

Skills

Analytical skills

Troubleshooting skills

Python

Go

SQL

Communication

Ownership

Education

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

Job description

Job Description

Trading Operations Engineer

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 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

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