Graduate Quantitative Analyst

TN United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is on the lookout for a Quantitative Analyst/Strategist to enhance their Quant Analytics team. This role offers the chance to delve into the dynamics of commodity and macro derivatives markets, contributing to impactful research and insights. The ideal candidate will leverage their expertise in Python and R, alongside a strong foundation in quantitative analysis, to model market behaviors and drive data-driven decision-making. With a commitment to high-quality deliverables and a supportive work environment, this opportunity promises professional growth and a chance to make a significant impact in the financial sector.

Benefits

Health Benefits

Social Clubs

Professional Growth Opportunities

Work-Life Balance Amenities

Qualifications

• Master’s degree in a quantitative field is required.
• Proficiency in Python/R with numeric libraries is essential.
• Experience with financial data and derivatives is a must.

Responsibilities

• Contribute to market publications and technical insights.
• Model commodity futures/options market participants.
• Build and maintain analytics dashboards and datasets.

Skills

Python

R

Time Series Analysis

Econometrics

Machine Learning

Communication Skills

Data Science

Financial Data Analysis

Education

Master’s degree in Mathematics

Master’s degree in Physics

Master’s degree in Computer Science

Master’s degree in Engineering

Master’s degree in Economics

Master’s degree in Finance

Tools

Plotly Dash

Shiny

Job description

Energy Aspects is seeking a Quantitative Analyst/Strategist to join our industry-leading Quant Analytics team. The role focuses on modeling market participants and financial flows in commodity and macro derivatives markets, including futures, options, and swaps. The successful candidate will contribute to all stages of our work, from research development to delivering insights to clients.

The position involves analyzing futures market pricing, participant flows, and integrating global analysis to create tradeable views. The candidate must produce high-quality deliverables under tight deadlines, supporting our reputation for accurate research.

Key Responsibilities

• Contribute to market publications and technical insights.
• Model commodity futures/options market participants and price drivers.
• Build and maintain analytics dashboards and datasets.

Skills, Knowledge and Expertise

• Master’s degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, Economics, Finance).
• Proficiency in Python/R with familiarity in numeric libraries.
• Experience in time series analysis, econometrics, or ML.
• Knowledge of options strategies, pricing models, and risk metrics.
• Strong communication skills, both written and spoken.
• Data science skills including data cleaning and presentation.
• Ability to work independently under deadlines.
• Experience with financial data, derivatives, and dashboard tools (Plotly Dash/Shiny).
• Interest in financial markets and economics.

We offer competitive remuneration, a high-performance culture, and opportunities for professional growth in a diverse, global environment. Our offices are located in prestigious buildings with amenities supporting work-life balance, including social clubs, health benefits, and a supportive community.