Quantitative Analyst

Quantitative Analyst

Department: Quant Analytics

Employment Type: Permanent – Full Time

Location: London

Reporting To: Tim Skirrow

Description

At Energy Aspects, we pride ourselves on exceptional talent. We are seeking a Senior Quantitative Commodity Strategist to join our dynamic team. The role demands adaptability, self‑motivation, and organisational skills to plan and prioritise tasks. We offer excellent remuneration and a high‑performance culture with challenging and exciting work.

Key Responsibilities

• Develop and implement quantitative models to analyse and forecast commodity flows, prices, volatility, and market trends.
• Conduct in-depth research on fundamental and macroeconomic drivers impacting commodity markets, translating findings into actionable market views.
• Collaborate closely with quant leads in energy, options, metals, and macro to refine cross‑desk market views.
• Communicate complex quantitative concepts and market views clearly to internal stakeholders and external clients, tailoring the message to the audience’s expertise.
• Monitor and interpret developments in commodity derivative markets, with a particular focus on financial participants.

Skills, Knowledge and Expertise

• Minimum 3 years’ experience on a commodity trading desk, either as an analyst, strategist, or trader.
• Demonstrable experience with commodity derivative contracts, particularly options, including pricing, risk management, and strategy development.
• Proven track record in statistical modelling of key commodity price drivers, including fundamental and macroeconomic variables.
• Strong understanding of the role and behaviour of financial participants in global commodity markets.
• Advanced Python programming skills, with experience in data analysis, visualisation, and model development.
• Excellent communication skills, engaging in detailed, technical discussions about commodity derivative markets and conveying market views to clients.

Desirable Qualities and Additional Skills

• Advanced degree (MSc/PhD) in a quantitative discipline (Mathematics, Physics, Engineering, Economics, Finance).
• Experience working with large and complex datasets, including data cleaning, transformation, and feature engineering.
• Strong problem‑solving skills, intellectual curiosity, and a proactive approach to identifying market opportunities.
• Ability to work independently and collaboratively within a cross‑functional team.
• Experience presenting research and strategies to internal stakeholders or external clients.

Benefits

• Competitive compensation package including annual bonuses.
• Comprehensive private health insurance.
• Substantial pension contributions.
• Company share options.
• Subsidised gym memberships.
• Generous holiday policy.

#J-18808-Ljbffr…