National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

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

Aubay UK
Altrincham
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Quantitative Analyst

Quantitative Developer - Python

Quantitative Research - Athena Analytics Developer - Executive Director

Quantitative Trader – HFT Futures

Senior Quantitative Analyst

Data Analyst

Role Summary Aubay UK is seeking an experienced Quantitative Analyst/Researcher to 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. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis and modelling. Deep understanding and hands-on experience in pricing complex option structures and building financial models (e.g., Monte Carlo simulations, multifactor models, stochastic volatility models). Exceptional analytical and problem-solving skills, coupled with a strong grasp of programming and numerical techniques. Ability to work independently while maintaining excellent communication and collaboration skills. Desired Skills and Experience: Passion for energy markets and quantitative analysis. A proactive approach to problem-solving and innovation. Role Responsibilities: Develop and implement models for Monte Carlo simulation, price path simulation, multifactor models, and other advanced quantitative methods. Price complex option structures and provide expertise in gas storage valuation, stochastic volatility models, and other derivatives-related processes. Collaborate closely with the front office team to support energy commodities trading and provide actionable insights. Stay at the forefront of quantitative research to enhance existing models and create innovative solutions. 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 IAero Chalet

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.