ETF Quant Trader – Hybrid London Desk

Citi; Greater London; Hybrid; GBP 110,000 - 180,000; Full time

Benefits offered by this job

27 days annual leave

Discretional annual bonus

Private Medical Care & Life Insurance

Employee Assistance Program

Pension Plan

Paid Parental Leave

Special discounts for employees

Learning and development resources

Job summary

Citi Markets in London is seeking an experienced Associate / Early VP trader to join the ETF Quantitative Trading desk. You will drive systematic pricing models, automated market‑making, and risk management across ETFs, managing Citi ETF inventory and live trading with a high-performance team.

The role requires advanced quantitative credentials, backtesting experience (Python preferred), and strong time-series and multi-factor risk modelling skills.

Qualifications

• Advanced degree in a quantitative STEM field; exceptional Bachelor's considered.
• Experience in back testing and coding, preferably Python.
• Strong time-series econometrics and multi-factor risk modeling knowledge (Barra).
• Ability to perform under market stress.
• ETF experience is a plus.

Responsibilities

• Design real-time algorithmic pricing and quoting models across electronic venues.
• Manage and optimize intraday risk exposure.
• Review RFQ pricing model.
• Develop and back test systematic trading across equity, fixed income, and commodity ETFs.
• Collaborate with quant and Dev to improve systems.

Skills

Python

Backtesting

Stress tolerance

ETF experience

Education

Advanced quantitative degree

Job description

Citi Markets in London is seeking an experienced Associate / Early VP trader to join the ETF Quantitative Trading desk. You will drive systematic pricing models, automated market‑making, and risk management across ETFs, managing Citi ETF inventory and live trading with a high-performance team.

The role requires advanced quantitative credentials, backtesting experience (Python preferred), and strong time-series and multi-factor risk modelling skills.