Quantitative Analyst (Phd Student)

Whitebridge Group; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A financial services firm in Greater London is seeking a Quantitative Analyst to engage in a hybrid role focusing on quantitative analysis for their energy client. The ideal candidate will possess high proficiency in Python and SQL, experience in statistical analysis, and a strong educational background in Mathematics or a related field. Part-time PhD students are also welcome to apply. This role requires starting ASAP and offers a collaborative environment with exposure to financial market strategies.

Qualifications

• High proficiency in core programming languages such as Python and SQL.
• Nice to have familiarity with development tools like Visual Studio and Azure DevOps.
• Expertise in statistical analysis, time-series, and machine learning.

Responsibilities

• Develop quantitative models for analysis.
• Analyze financial data and trends.
• Support trading strategies and risk management processes.

Skills

Python

SQL

C#

Machine learning/AI

Education

PhD or similar in Mathematics/Physics/Math Finance/Computer Science

Tools

Visual Studio

Azure DevOps

Job description

Whitebridge is looking for a Quantitative Analyst to join a programme for our energy client. We are happy to consider PhD students looking for part time work as well as those seeking Full time engagement.

Experience required

• Programming: High proficiency in core languages such as Python and SQL, as well as nice to haves including C#, .NET, C++ or otherwise
• Development: Nice to have, familiarity with tools like Visual Studio and Azure DevOps a plus, but a general exposure to a development workflow
• Quantitative: Expertise in some of the following, statistical analysis, time-series analysis, signal processing, portfolio theory, optimisation, machine learning/AI
• Field/Specialty: Mathematics, Physics, Math Finance, Computer Science (or similar with a strong quantitative focus)
• Systematic strategies: Nice to have some understanding of Systematic Trading, Strategies for signal generation and automated trading
• Trading/Finance: Nice to have, some understanding of financial markets, risk management and trading tick data
• Commodities: Nice to have, some understanding of Commodity markets in particular Energy, and topics such as intertemporal choice in Energy (storage, carry, dispatch)

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.