Glencore

Quant Analyst

London

Posted 7 days ago

Early applicant

On-site

Full-time

Mid Level

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. Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting the energy needs of today. With around 140,000 employees and contractors and a strong footprint in over 35 countries in both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of more than 40 offices. Glencore's customers are industrial consumers, such as those in the automotive, steel, power generation, battery manufacturing and oil sectors. We also provide financing, logistics and other services to producers and consumers of commodities. For more details about our business, please visit glencore.com

Skills

Python

Probability Theory

Derivative Option Pricing

Angular

React

SQL

NoSQL

CI/CD

Cloud Computing

Quantitative Modeling

Commodities Trading

Problem Solving

Stakeholder Communication