Trade Operations Analyst – algo trading

Overview

In this Operations Analyst role you will support a fast-moving, multi-asset trading environment by automating workflows, reconciling cash and positions, and monitoring risk. You’ll work within a small, engineering-first team to scale the trading platform and improve operational processes. The role blends hands-on trade lifecycle tasks with tool development in collaboration with engineers, brokers, and venues. This is a high-exposure position designed for impact in a tech-driven, high-trust setting.

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

Key requirements

• 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
• Bachelor’s or Master’s degree in Maths, Engineering, or Computer Science (min 2:1)

• Clear communicator across teams
• Self-starter with ownership
• Strong analytical thinking
• Python
• Go
• SQL

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