Trading Operations Engineer

JR United Kingdom; Leeds; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A global quantitative trading firm in Leeds seeks a Trading Operations Engineer to enhances its trading infrastructure. This high-impact role involves daily reconciliations, developing automated tools, and working closely with brokers in a technology-driven environment. The ideal candidate has 2-3 years of experience and a relevant degree, thriving in a fast-paced environment with autonomy to implement operational improvements.

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

Qualifications

• 2–3 years experience in trading operations or similar environment.
• Strong Python or Go scripting experience; SQL for data queries/manipulation.
• Familiarity with at least one asset class from an ops or support perspective.

Responsibilities

• Manage broker and exchange relationships, resolve operational issues.
• Develop and maintain automated tools (Python, Go, SQL).
• Daily reconciliations across cash, positions, and trading activity.

Skills

Python

Go

SQL

Analytical skills

Communication

Education

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

Job description

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Trading Operations Engineer, leeds, west yorkshire

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Client:

Location:

leeds, west yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

07.06.2025

Expiry Date:

22.07.2025

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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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