Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Aubay UK
Southampton
4 weeks ago
Create job alert

Role Summary

Aubay UK is seeking an experiencedQuantitative Analyst/Researcherto join our team. The ideal candidate will bring extensive expertise in energy commodities trading and quantitative modelling, paired with an advanced academic background in a quantitative discipline. This role involves contributing to cutting-edge projects, pricing complex option structures, and building robust models to drive analytical excellence within our front office. This role involves significant travel to Doha, Qatar (up to 2 weeks at a time every 1-2 months). Further details regarding travel requirements will be discussed during the interview process.


Required Skills and Experience

  • Previous work experience working as a quant in an energy commodity trading organisation
  • Experience in modelling spot/forward price processes, building Monte Carlo simulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), modelling stochastic volatility and correlation in commodity prices.
  • Expert-level coding skills in a language such as Python, C#, or C++


Desired Skills and Experience

  • Proficiency in programming (Python, C++, etc.) and data analysis tools
  • Strong understanding of financial markets, trading strategies, and risk management
  • Experience with statistical modelling, machine learning, and algorithm development
  • Ability to work with large datasets and perform complex quantitative analysis
  • Excellent communication and teamwork skills
  • Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related.


Key Role Responsibilities

  • Develop and implement pricing models for complex option structures.
  • Develop and implement tools for monitoring the Greeks of option positions.
  • Build and refine Monte Carlo simulation tools for portfolio scenario simulation.
  • Create, calibrate, and implement multifactor models for forward price simulation.
  • Help build and validate gas storage model for pricing storage assets and swing structures
  • Contribute to the methodology for modelling volatility and cross-commodity correlations
  • Collaborate with structurers and other stakeholders to integrate models into existing trading and valuation practice.
  • Continuously improve models based on feedback and performance metrics.


At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.

  • 25 Days Annual Leave
  • Work From Home Opportunities
  • Pension Scheme
  • Opportunities to Work Directly with our Client
  • Training Opportunities
  • Discount Holidays at I'Aero Chalet

Related Jobs

View all jobs

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Project Manager (Quantitative)

Quantitative Analyst

PnL Quantitative analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Jobs

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Jobs

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.