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Glencore

Quant Engineer

London
Posted 1 day ago
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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 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 minimize operational risk.
  • Contribute to the development of the shared quantitative platform designed to support all trading desks.
  • Utilize 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications and Requirements:

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  • 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.
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Skills

Python
Quantitative Modeling
Probability Theory
Derivative Option Pricing
Angular
React
SQL
NoSQL
CI/CD
Cloud Computing
Commodities Trading
Risk Management
Problem Solving
Stakeholder Communication
Software Engineering
Financial Engineering

Location

London, England, United Kingdom

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