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- Tasks: Design and build high-performance applications for commodities trading, focusing on LNG.
- Company: Dynamic energy firm in London 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 required.
- 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 in Slough employer: Options Group
Contact Detail:
Options Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Energy - London in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in commodities trading. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your programming skills and quantitative knowledge. Bring examples of your work or projects that demonstrate your expertise in Python and model calibration.
✨Tailor Your Approach
Every conversation is an opportunity! Make sure to tailor your discussions to the specific needs of the trading desks. Show them you understand their challenges and how you can help solve them with your tech-savvy solutions.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our growth.
We think you need these skills to ace Quantitative Developer - Energy - London in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills, especially in Python, and any relevant experience in commodities trading or quantitative analysis. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can help us tackle complex trading problems. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to include them. We love seeing practical applications of your skills, especially if they involve quantitative models or technology solutions that could benefit our trading desks.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
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
Make sure you're comfortable with Python and any front-end frameworks like Angular or React. Prepare to demonstrate your coding abilities, perhaps by discussing a project where you built a scalable application or improved an existing process.
✨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 Like a Pro
Strong stakeholder communication skills are key. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with traders and analysts who may not have a technical background.