Quantitative Risk Analyst - Commodities

JR United Kingdom; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Une société de gestion de fonds de couverture à Londres recherche un Analyste Quantitatif pour analyser et surveiller le risque des Commodities. Le candidat idéal aura un diplôme avancé et une solide expérience en programmation, notamment en Python. Ce rôle implique la construction de modèles analytiques et la création de tableaux de bord pour aider à la prise de décision.

Qualifications

• Avancé de diplôme, minimum 3 ans d'expérience dans un rôle de Quantitative Analysis.
• Maîtrise des outils de développement GUI souhaitée.

Responsibilities

• Développer des modèles analytiques basés sur les données pour analyser les performances.
• Concevoir des tableaux de bord interactifs pour visualiser les risques.
• Collaborer avec l'équipe de technologie quantitative.

Skills

Programming skills

Quantitative analysis

Risk modeling

Education

Master’s or PhD in a quantitative discipline

Tools

Python

SQL

Job description

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Client:

H&P Executive Search

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

28.06.2025

Expiry Date:

12.08.2025

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Job Description:

Client - Hedge Fund

Location - London

The Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis.

Responsibilities:

• Develop data-driven analytical models to uncover performance patterns among portfolio managers and pinpoint key drivers of P&L and risk (e.g., factor models, risk decomposition).
• Design and implement interactive dashboards for risk analysis and scenario visualization, providing intuitive GUI tools for decision support.
• Collaborate with the Quant Technology team to build and enhance option pricing and volatility models.

Skills:

• Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics.
• Minimum of 3 years’ experience in a professional role within Trading, Structuring, Risk, or Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities house.
• Strong programming skills, particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL. Experience with GUI development tools such as Dash, Panel, or equivalent is a plus.