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Trading Operations Engineer

JR United Kingdom

Portsmouth

Hybrid

GBP 40,000 - 60,000

Full time

8 days ago

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Job summary

A leading global trading firm seeks a Trading Operations Engineer in Portsmouth. This high-impact role in a fast-moving environment involves trade support, process automation, and building workflows to enhance operational performance. With a focus on technical skills and problem-solving, the position offers autonomy and quick implementation of ideas within a tech-driven team.

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

Qualifications

  • Minimum 2:1 degree in Maths, Engineering, or Computer Science.
  • 2-3 years experience in trading operations or similar environment.
  • Strong scripting experience in Python or Go.

Responsibilities

  • Daily reconciliations across cash, positions, and trading activity.
  • Manage broker and exchange relationships, resolve operational issues.
  • Develop tools for automation using Python, Go, and SQL.

Skills

Python
Go
SQL
Analytical skills
Troubleshooting skills
Communication
Self-starter

Education

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

Job description

Social network you want to login/join with:

Trading Operations Engineer, Portsmouth, Hampshire

Client:

Location:

Portsmouth, Hampshire, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

4

Posted:

07.06.2025

Expiry Date:

22.07.2025

Job Description:

Trading Operations Engineer

Global Quantitative Trading Firm

Portsmouth – Hybrid (4 days onsite)

Quant Capital is hiring on behalf of a leading global trading firm looking for an Operations Analyst to join its Portsmouth 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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