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- Tasks: Join a dynamic team to tackle complex trading technology challenges and build innovative applications.
- Company: A forward-thinking firm focused on commodities trading with a collaborative environment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a fast-paced industry.
- Why this job: Make a real impact in the trading world using cutting-edge technology and quantitative models.
- Qualifications: Degree in a quantitative field and strong programming skills, especially in Python.
The predicted salary is between 50000 - 70000 £ per year.
We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading to join our business. 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 cross-functional teams, including analysts, traders and software engineers to have a real impact on the future success of our business.
KEY RESPONSIBILITIES
- Work closely with the trading desks and the Risk division 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 and risk management.
- 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.
- 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.
Quant Analyst in London employer: Glencore
Contact Detail:
Glencore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Research the company and the role thoroughly. We recommend practising common interview questions and even some technical ones related to quantitative analysis. Show them you’re not just a fit on paper but also in person!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role. We love seeing candidates take that extra step!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a leg up. Plus, it’s super easy to navigate, so why not give it a go?
We think you need these skills to ace Quant Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Analyst role. Highlight your programming skills, especially in Python, and any relevant experience with commodities trading or quantitative models. 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 contribute to our team. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills: In your application, don’t forget to showcase your problem-solving skills. Share examples of how you've tackled complex challenges in the past, especially those related to technology or trading. We love seeing candidates who can think critically and creatively!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Glencore
✨Know Your Quantitative Stuff
Brush up on your knowledge of probability theory and derivative option pricing. Be ready to discuss how these concepts apply to commodities trading, as this will show your understanding of the role and its challenges.
✨Show Off Your Coding Skills
Make sure you can demonstrate your programming prowess in Python. Prepare to talk about specific projects where you've built scalable applications or implemented quantitative models, as this will highlight your technical capabilities.
✨Understand the Business
Familiarise yourself with the trading desk's operations and the common challenges they face. This will help you articulate how you can contribute to solving their problems and improving efficiency, which is key for the role.
✨Communicate Like a Pro
Since you'll be collaborating with analysts, traders, and software engineers, practice explaining complex technical concepts in simple terms. Strong stakeholder communication skills are essential, so be prepared to showcase your ability to engage with diverse teams.