Quantitative Analyst (Energy)

Whitebridge Group; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A consulting firm in Greater London is looking for an experienced Quantitative Analyst to join a long-term program for an energy client. The successful candidate will have strong proficiency in Python and SQL, familiarity with ITIL processes, and expertise in statistical analysis and machine learning. The role requires commitment to starting ASAP and will offer a hybrid work model, with up to two days per week in the office. Direct applicants only, please.

Qualifications

• High proficiency in core programming languages such as Python and SQL.
• Familiar with ITIL processes, Agile, and cloud operations.
• Expertise in statistical analysis and machine learning.

Responsibilities

• Work on data workflow from source to action.
• Contribute to systematic trading and signal generation.
• Support the full trade lifecycle and trading systems.

Skills

High proficiency in Python

High proficiency in SQL

ITIL processes

Agile/DevOps

Statistical analysis

Machine learning/AI

Tools

Visual Studio

Azure DevOps

Job description

Whitebridge is looking for an experienced Quantitative Analyst to join a long term programme for our energy client.

Experience required:

• High proficiency in core languages such as Python and SQL (including data workflow from source to action, including schema design, persistence infrastructure etc.), as well as nice to haves including C#, .NET, C++ or otherwise
• Familiar with ITIL processes, Agile/DevOps practices, cloud operations, and tools like Visual Studio and Azure DevOps
• Expertise in some of the following, statistical analysis, time-series analysis, signal processing, portfolio theory, optimisation, machine learning/AI
• Exposure and some understanding of Systematic Trading and Strategies for signal generation, automated trading and the full strategy workflow
• Expertise with full trade life cycle, trade systems, trading tick data
• Advantage to have an understanding of systematic asset optimisation, market making and proprietary strategies

The successful applicant should be able to commit to starting ASAP. The role will be hybrid with up to 2 days per week in the office. The role will be umbrella based working. Direct applicants only please.