Quant Researcher PhD - Commodities Pricing

Client Server; London; On-site; GBP 148,000 - 175,000; Full time

Job summary

A leading commodities trading firm seeks a Quant Researcher with a PhD to develop predictive pricing models and drive data analysis. The role offers a competitive salary of up to £175k plus bonuses, emphasizing collaboration with software engineers and the use of a Python tech stack in a dynamic environment. Opportunities for continual learning and professional development are key highlights of this position.

Benefits

Continual learning and self-development opportunities

Bonus potential (up to 100%)

Qualifications

• Excellent academic record; 2.1 or above at BSc and studied to PhD level.
• Commercial experience in a similar Quant Researcher role within commodities trading.
• Experience implementing scalable, performant, low latency solutions.

Responsibilities

• Research and develop predictive pricing quantitative data models.
• Work with software engineers to put designs into production.
• Forecast elements of demand and supply for energy in European markets.

Skills

Python coding skills

Strong SQL skills

Data science techniques

Strong communication skills

Education

PhD in a relevant discipline (e.g. Advanced Mathematics, Probability)

Tools

PySpark

NumPy

Pandas

Scikit-Learn

Job description

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Quant Researcher PhD - Commodities Pricing, London

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Client:

Client Server

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

9cf423409643

Job Views:

6

Posted:

29.06.2025

Expiry Date:

13.08.2025

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Job Description:

Quant Researcher PhD London to £175k+

Are you a PhD educated Quant Researcher within the commodities trading space?

You could be progressing your career whilst earning significant bonuses at a specialised commodities trading firm.

As a Quant Researcher you'll focus on researching and developing predictive pricing quantitative data models that are used to forecast elements of demand and supply for energy in European markets, including weather and seasonal variations. You'll be working with a Python tech stack and collaborating with software engineers to put your designs into production.

Location:

You'll join colleagues in the London office on a fulltime basis (reducing to four days a week past probation).

About you:

• You have an excellent academic record of achievement; 2.1 or above at BSc, and have studied to PhD level at a top tier university in a relevant discipline e.g. Advanced Mathematics, Probability, Statistical Patterns
• You have commercial experience in a similar Quant Researcher role within a commodities trading environment
• You have Python coding skills and a good knowledge of Python libraires such as PySpark, NumPy, Pandas, Scikit-Learn
• You have strong SQL skills
• You're comfortable working with large data sets and statistics
• You have a good appreciation of data science techniques
• You have experience of implementing highly scalable, performant, low latency solutions
• You have excellent written and verbal communication skills

What's in it for you:

• Salary to £175k
• Bonus (up to 100%)
• Continual learning and self-development opportunities