Quantitative Analyst – Commodities, VP

Company: Citigroup
Apply for the Quantitative Analyst – Commodities, VP
Location: London
Job Description:

Overview

As a Quantitative Analyst in the Market Quantitative Analysis team in London, you will develop analytics libraries and pricing/risk models for the commodities front office. You’ll work closely with traders, structurers, and technology to implement advanced quantitative methods and GPU-accelerated solutions. Governance, controls, and cross-functional collaboration ensure robust risk-aware decision making. This is a hands-on role shaping pricing and risk analytics for a diverse commodity portfolio at Citi.

Responsibilities

  • Develop analytics libraries for pricing and risk management
  • Create and implement quantitative models for trading using a range of mathematical and CS methods, including hardware acceleration
  • Build pricing models using numerical techniques such as Monte Carlo methods and PDE solvers
  • Collaborate with Traders, Structurers, and IT to deliver models and analytics
  • Work with control functions (Legal, Compliance, Market and Credit Risk, Audit, Finance) to ensure governance
  • Assess risk/reward of transactions and promote responsible decision making aligned with Citi’s reputation
  • Follow Citi’s Code of Conduct and compliance plans, ensuring team-wide understanding
  • Maintain necessary registrations/licenses for the role
  • Escalate, manage, and report control issues with transparency to safeguard Citigroup and clients

Key requirements

  • Experience in a comparable quantitative modelling or analytics role in financial sector
  • Strong technical/programming skills; exposure to Market Data; statistics and probability based calculations; use of probability theory for risk of complex instruments; software design
  • Product knowledge, investments, and quantitative methods
  • Clear and concise written and verbal communication skills
  • Master, PhD, or equivalent degree
  • clear and concise communication
  • collaboration across teams
  • risk-aware decision making
  • C++
  • Python
  • JavaScript

…

Posted: October 24th, 2026