Junior Trading Operations Analyst — Energy Markets, Real-Time

DV Trading; Greater London; On-site; GBP 32,000 - 42,000; Full time

Job summary

DV Trading in London seeks a Junior Trading Operations Analyst to support the DV Commodities team. The role involves real-time monitoring with traders, reconciling daily PnL, and resolving operational issues to keep desks running smoothly.

Ideal candidates have 0-2 years in trading or data-focused roles, strong Excel, and hands-on Python/SQL experience. The job is office-based with fast-paced daily activities and opportunities to improve processes and reporting.

Qualifications

• 0-2+ years of experience in trading, operations, or a data-focused role.
• Strong Excel skills.
• Hands-on experience using Python and/or SQL to work with and analyze data.
• Interest in trading and energy markets.
• Ability to stay organized and effective in a fast-paced, real-time environment.
• Strong communication skills and confidence interacting with traders and stakeholders.

Responsibilities

• Act as primary support for the trading desks, handling ad-hoc queries from traders and stakeholders
• Perform daily PnL reconciliation and reporting, investigating and resolving discrepancies
• Monitor pricing and risk, identifying and escalating issues where necessary
• Serve as the first point of contact for operational and trade-related issues
• Investigate breaks across internal systems, brokers, and exchanges, coordinating with relevant teams to resolve them
• Contribute to process improvements and controls to reduce manual work and operational risk
• Work on data-driven projects to improve reporting, transparency, and operational efficiency

Skills

Attention to detail

Communication skills

Analytical mindset

Data analysis

Tools

Python

SQL

Excel

Job description

DV Trading in London seeks a Junior Trading Operations Analyst to support the DV Commodities team. The role involves real-time monitoring with traders, reconciling daily PnL, and resolving operational issues to keep desks running smoothly.

Ideal candidates have 0-2 years in trading or data-focused roles, strong Excel, and hands-on Python/SQL experience. The job is office-based with fast-paced daily activities and opportunities to improve processes and reporting.