Graduate Trading Operations Analyst – 24/7 London

Datatech Analytics; Greater London; On-site; GBP 30,000 - 36,000; Full time

Job summary

Datatech Analytics is seeking a high-calibre 2026 graduate to join its Trading Operations team in City of London. This on-site role supports global trading activity across 24/7 platforms, with a focus on accuracy and operational rigor.

The successful candidate will have a 2:1 degree in Mathematics, Statistics or Economics, strong numeracy, and proficiency in Excel. SQL knowledge is advantageous, and the role requires flexibility for early mornings, late shifts and weekend work.

Qualifications

• BSc degree at 2:1 in Mathematics, Statistics or Economics.
• Strong numeracy and understanding of probabilities.
• Excellent attention to detail and meticulous approach.
• Proficiency in Microsoft Excel.
• Willingness to learn new systems.
• Comfortable with multiple time zones and currencies.
• Ability to work early mornings and weekends.
• Liaise with traders and developers to improve platforms.

Responsibilities

• Monitor and support global trading activity via proprietary platforms 24/7.
• Identify inconsistencies, errors and unusual activity.
• Develop insights on customer, counterparty and market behaviour.
• Liaise with traders, counterparties and venues.
• Troubleshoot issues through the trade lifecycle.
• Work with developers and traders to improve platform functionality.

Skills

Numeracy

Attention to detail

Excel

SQL knowledge

Organisational skills

Time zones

Currencies

Interpersonal skills

Learning new systems

Proactive attitude

Education

BSc 2:1 in Math/Stats/Econ

Tools

Excel

SQL

Job description

Datatech Analytics is seeking a high-calibre 2026 graduate to join its Trading Operations team in City of London. This on-site role supports global trading activity across 24/7 platforms, with a focus on accuracy and operational rigor.

The successful candidate will have a 2:1 degree in Mathematics, Statistics or Economics, strong numeracy, and proficiency in Excel. SQL knowledge is advantageous, and the role requires flexibility for early mornings, late shifts and weekend work.