ETF Quant Trader

At Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. That's why collaboration plays a central role in how we deliver for clients, develop our people, and grow our business. Our Equities franchise operates at the forefront of global markets, spanning cash equities, derivatives, ETFs, and electronic execution.

With a uniquely broad product range and remarkably varied client base—from asset managers and pension funds to hedge funds and institutional investors,we provide deep liquidity and innovative solutions across developed and emerging markets.

EMEA ETFs desk is growing and is seeking for an experienced Associate /Early VP trader to join our ETF Quantitative Trading desk in London. In this role, you will drive the development and deployment of systematic pricing models, automated market‑making strategies, and risk management algorithms across our global ETF franchise. You will also manage Citi ETFs inventory. This is a compelling opportunity to take ownership of a live trading book, shape the evolution of our electronic ETF capabilities, and work alongside some of the smartest quantitative minds in the industry.

You will combine deep technical expertise with commercial acumen to optimize liquidity provision, manage complex multi‑asset risk exposures, and deliver alpha through quantitative innovation in a fast‑paced, high‑performance environment.

• Design and deploy real‑time algorithmic pricing and quoting models across exchange‑traded and RFQ electronic venues, incorporating Fair Value modelling, basket proxying, tracking error forecasting, and cross‑asset lead‑lag signals to optimize spread capture.
• Manage and optimize intraday risk exposure.
• Reviewing and improving RFQ pricing model
• Develop and back test systematic trading, including momentum/reversion, volatility forecasting, and statistical arbitrage frameworks across equity, fixed income, and commodity ETFs
• Work with quant and Dev in order to improve systems

• Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Mathematics, Physics, Statistics, or a related quantitative STEM discipline; exceptional candidates with a Bachelor's degree and proven track record will also be considered
• Experience in back testing and coding – ideally python
• Strong quantitative foundations in time‑series econometrics, statistical arbitrage, and multi‑factor risk modelling (e.g., Barra, proprietary factor frameworks)
• Someone willing to face the market and that can handle stress
• Previous role in ETFs will be a plus

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day.

This job description provides a high-level review of the types of work performed. Other job‑related duties may be assigned as required.

Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The…