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- Tasks: Design and build high-performance applications for commodities trading, focusing on LNG.
- Company: Dynamic energy firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a small team to tackle complex trading challenges and make a real impact.
- Qualifications: Degree in a quantitative field and strong programming skills in Python.
- Other info: Exciting environment with opportunities to learn about commodities trading.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading, and ideally LNG. You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with Analysts, Traders and Software Engineers cross-functionally.
KEY RESPONSIBILITIES
- Work closely with the trading desks (traders, originators, structurers and analysts) to acquire in-depth business knowledge, identify their challenges, and capture specific needs.
- Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization.
- Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance.
- Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk.
- Contribute to the development of the shared quantitative platform designed to support all trading desks.
- Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk.
- Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise.
Qualifications and Requirements:
- Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field.
- Strong programming skills and advanced proficiency in Python.
- Strong understanding of probability theory and derivative option pricing.
- Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems.
- Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms.
- Intellectual curiosity and willingness to learn new models and physical commodity markets.
- Excellent problem-solving skills and a strong attention to detail.
- Strong stakeholder communication skills.
- Prior experience in commodities trading is beneficial but not required.
Quantitative Developer - Energy - London employer: Options Group
Contact Detail:
Options Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Energy - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. The more you engage, the better your chances of landing that Quantitative Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to commodities trading or quantitative models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, CI/CD practices, and any relevant projects you've worked on.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Quantitative Developer - Energy - London
Some tips for your application 🫡
Show Your Passion for Commodities: When writing your application, let us see your enthusiasm for commodities trading, especially LNG. Share any relevant experiences or projects that highlight your interest and knowledge in this area.
Highlight Your Technical Skills: Make sure to showcase your programming skills, particularly in Python, and any experience with front-end frameworks like Angular or React. We want to know how you can contribute to building high-performance applications!
Demonstrate Problem-Solving Abilities: Use your application to illustrate your problem-solving skills. Share examples of how you've tackled complex challenges in the past, especially in quantitative or technical contexts. This will help us see your potential fit for our team.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Developer role. We appreciate when candidates take the time to align their experiences with what we’re looking for.
How to prepare for a job interview at Options Group
✨Know Your Quantitative Stuff
Brush up on your knowledge of probability theory, derivative option pricing, and the specific quantitative models relevant to commodities trading. Be ready to discuss how you've applied these concepts in past projects or roles.
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges and be familiar with front-end frameworks like Angular or React.
✨Understand the Business Side
Familiarise yourself with the LNG market and the challenges traders face. Being able to speak knowledgeably about the industry will show that you’re not just a tech whiz but also understand the business context of your work.
✨Communicate Clearly
Strong stakeholder communication skills are essential. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with analysts and traders who may not have a technical background.