at Glencore
CommoditiesPosted 4 days ago
1 click
**Quant Analyst** -Design and build scalable trading apps, implement quantitative models, drive tech efficiency using Python, cloud computing. Key responsibilities: Collaborate with trading desks and risk divisions, replace Excel processes with robust applications, maintain high-quality code, troubleshoot issues. Qualifications: Degree in a quantitative field, strong Python and problem-solving skills, understanding of derivatives and cloud computing. Full-time role in London.
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
- Homepage
- Careers
- Jobs
- Quant Analyst
Quant Analyst
- Full time
- London, Greater London, United Kingdom
- Analytics
THE ROLE
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 of 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.
