Quant jobs / Citi

Quantitative Equities Trader – VP

A trading role overseeing a book alongside Citi's Systematic Cash Trading team. It aims to deliver revenue and manage risk, and needs programming in Python and kdb.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Trade and manage risk on a systematic cash equities book
Coordinate with sales and desk analysts to meet client demand
Build or use Python and kdb tooling for analysis
Work with risk and compliance on controls

What they ask for

Required

6-10 years in a related role
Knowledge of the products and clients
Advanced analytical and numerical skills
Python and kdb
Bloomberg and booking systems
Required licences
Communication and relationship skills

Preferred

Master's degree

Education: Bachelor's degree or equivalent experience; master's good to have
Experience: 6-10 years in a related trading role
Languages and tools: Python
KDB+/q
Markets: equities

How to prepare

Learn cash equities market structure in Asia, including auctions and tick sizes
Practise kdb/q queries on tick data
Build a Python tool that measures execution quality against benchmarks
Study how systematic flow is hedged and how trading P&L is attributed

What to study

The HFT Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Citi’s site before applying: requirements, location and pay can change after we check them.

View the posting on Citi’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Citi and doesn’t handle applications.