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
…
