VP – Quantitative Researcher Equities E-Trading

Join a front-office quant team focused on building and enhancing electronic trading strategies within the Equities business. The team designs and calibrates execution algorithms, develops market analytics and trading signals, and delivers the models and tools that underpin smart-order-routing and best execution.

This is a hands-on VP-level role reporting directly to the Head of the group.

Key Responsibilities:

Design, calibrate and optimise execution algorithms
Analyse market microstructure and transaction cost data
Develop and test new trading signals and liquidity metrics
Run A/B trials to evaluate new algo behaviours
Build Python/q dashboards and reports for internal monitoring
Improve and maintain model calibration processes
Perform post-trade analysis to ensure best execution
Collaborate across trading, product, technology, compliance, and risk

Tech Stack:

q/kdb+ for data analysis (preferred)
Python for tooling and automation (required)
C++ / Java – reading production code (not required to develop)
Legacy tooling in Perl/sh (can be learned on the job)

Candidate Profile:

PhD or Master’s in a quantitative discipline (e.g. statistics, CS, physics, maths)
Strong programming skills (Python, q/kdb+) and understanding of statistical methods
2+ years in electronic or algorithmic trading (equities preferred)
Hands-on experience with execution logic, calibration, or market analytics
Strong communication skills and ability to work across teams