Data Analyst SQL Python - Hedge Fund

Client Server; London; Hybrid; GBP 65,000 - 80,000; Full time

Job summary

A leading financial firm in London seeks a Data Analyst to work on quantitative trading projects, developing models to forecast energy demand. Candidates should have strong Python and SQL skills, a top-tier education in a relevant field, and the ability to collaborate effectively. The role offers a competitive salary up to £80k with substantial bonuses, private medical insurance, and opportunities for career development.

Benefits

Salary up to £80k + significant bonus

Private Medical Insurance

Life Assurance

Training and career development opportunities

Work from home (one day per week)

Company retreats including skiing trips and summer getaways

Qualifications

• Strong Python and SQL skills.
• Commercial experience with large datasets.
• Able to implement high-performance solutions.

Responsibilities

• Research drivers of global gas prices.
• Develop supply and demand models.
• Communicate findings to traders and analysts.

Skills

Python

SQL

Excellent communication skills

Experience with large datasets

Education

2.1 or above at BSc, likely MSc/PhD in Mathematics or Statistics

Job description

Data Analyst (SQL Python) London / WFH to £80k

Do you have a first class education combined with a strong interest in quantitative trading?

You could be joining a specialist Hedge Fund and working on long-term strategic projects involving implementing quantitative statistical models used to forecast energy demand and supply in US markets.

As a Data Analyst, you will research drivers of global gas prices and develop supply and demand models to support decision-making, partnering with experienced Quants and liaising with Portfolio Managers to deliver bespoke statistical models and methods. You will effectively communicate views and findings to traders, analysts, and other stakeholders.

You will contribute to team-wide fundamental analytics, maintain best practices in Python libraries and dashboards, and seek continual improvements in data sources and technical capabilities.

Location / WFH:

This role is based in London with a small team of software/data engineers and finance entrepreneurs. You will work full-time (Monday to Friday) with the option to work from home one day per week.

About you:

• Excellent academic record (2.1 or above at BSc, likely MSc/PhD from top-tier university in fields like Mathematics, Probability, Statistical Patterns) with commercial experience
• Strong Python and SQL skills
• Experience working with large datasets
• Experience implementing scalable, high-performance, low-latency solutions
• Excellent communication skills

What’s in it for you:

• Salary up to £80k + significant bonus
• Private Medical Insurance
• Life Assurance
• Training and career development opportunities
• Work from home (one day in London office per week)
• Company retreats such as winter skiing trips and summer getaways