VP Quantitative Analyst – Commodities Trading

Barclay Simpson; London; On-site; GBP 100,000 - 130,000; Full time

Job summary

A premier energy and commodities specialist is seeking a VP Quantitative Analyst for their trading operations in London. The successful candidate will develop risk methodologies, create pricing models, and contribute to a rapidly growing team focused on physical and financial trading. Strong Python skills and a background in commodity trading or financial institutions are essential.

Qualifications

• Strong Python coding skills.
• Experience in commodity trading or financial services.
• Ability to work with minimal supervision in an unstructured environment.

Responsibilities

• Develop market and liquidity risk methodologies.
• Create margin/SPAN models and pricing curves.
• Validate models developed by the front office.

Skills

Python

Market risk methodologies

Liquidity risk methodologies

Education

VP-level experience

Job description

VP Quantitative Analyst – Commodities Trading

Specialisms: Quant Jobs

• Location: London
• Job type: Permanent
• Salary: £100k - £130k + excellent bonus
• Sector: Financial Services, Banking
• Job reference: SN41886

My client is a premier energy and commodities specialist with a global presence, operating in physical and financial trading, carbon trading, energy infrastructure investment, and risk solutions across all asset classes.

The firm is building out a risk capability for their trading operations in London. They are seeking a talented VP-level quant, ideally with prior exposure to physical and financial commodity/energy trading, to join a rapidly growing team. This role will focus on developing market and liquidity risk methodologies, margin/SPAN models, pricing curves, and validating models developed by the front office.

The role is dynamic and varied, providing exposure to all aspects of the firm's commodity trading operations.

The ideal candidate is a VP-level quant in a financial institution (bank, hedge fund, commodities house), capable of working in an unstructured environment with minimal supervision, and possessing strong Python coding skills. Commodity asset class knowledge is advantageous, but candidates with expertise in other asset classes and strong technical skills will also be considered.

Interested candidates can apply by submitting their full name, email address, phone number (optional), message, and CV (optional). The maximum file size for uploads is 2 MB. By applying, you consent to the processing of your personal data as detailed in Barclay Simpson’s Privacy Policy.

We encourage applicants from diverse backgrounds and underrepresented groups. We welcome candidates who meet most of the requirements and are open to providing adjustments to the application process if needed.

Barclay Simpson acts as an Employment Agency for permanent positions and as an Employment Business for temporary/contract roles.

Scott Nye – Quant Risk

Executive Consultant

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