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

ZipRecruiter; Ashton-under-Lyne; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a talented Quantitative Analyst/Researcher to join their dynamic team. This role offers the opportunity to work on cutting-edge projects in energy commodities trading, where you will leverage your expertise in quantitative modelling and advanced coding skills. You will develop pricing models for complex options, refine Monte Carlo simulation tools, and collaborate closely with traders and stakeholders to enhance trading strategies. With a strong focus on professional development, this company provides a supportive environment where your contributions will significantly impact their analytical capabilities. If you are passionate about quantitative finance and eager to make a difference, this role is perfect for you.

Benefits

25 Days Annual Leave

Work From Home Opportunities

Pension Scheme

Training Opportunities

Discount Holidays at I'Aero Chalet

Qualifications

• Extensive expertise in energy commodities trading and quantitative modelling.
• Expert-level coding skills in Python, C#, or C++.

Responsibilities

• Develop and implement pricing models for complex option structures.
• Collaborate with stakeholders to integrate models into trading practices.

Skills

Quantitative Analysis

Energy Commodities Trading

Quantitative Modelling

Python

C#

C++

Statistical Modelling

Machine Learning

Risk Management

Data Analysis

Education

PhD in Quantitative Subject

MS in Quantitative Subject

Tools

Monte Carlo Simulation Tools

Data Analysis Tools

Job description

Job Description

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. 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 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 remuneration 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.

Benefits:

• 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